Archive 23.05.2024

Concierge services built on artificial intelligence have the potential to improve how hotels and other service businesses interact with customers, a new paper suggests.

In his search for a suitable camera, he came across IDS NXT - a complete system for the use of intelligent image processing. It fulfilled all requirements and, thanks to artificial intelligence, much more besides pure gesture recognition.

What began with an idea and the founding of a company over 60 years ago is now a company that offers and sells high-performance FAULHABER drive systems throughout the North American market.

How Much Does It Cost to Develop an eCommerce App Like 6thStreet?

E-commerce is playing a vital role in today’s digital age. The way people interact with brands has been transformed and mostly switched to digital. E-commerce apps keep everything at the fingertips of the end-users. From groceries and accessories to electronics and all home essentials, mobile eCommerce platforms are offering convenient online purchasing options to buyers. Moreover, the facility to access multiple brands on a single platform, online shopping apps, and grocery apps are gaining the attention of millions of users worldwide.

Today, we would like to discuss about one such biggest online shopping app in the Middle East 6thStreet. 6thStreet mobile app provides online shopping and home delivery services to people across UAE, Saudi Arabia, Kuwait, Oman, Bahrain, and Qatar. This top online shopping app in the UAE offers over 200 international brands, including Dune London, Charles & Keith, Tommy Hilfiger, Levi’s, Puma, Reebok, and many more. It allows users to buy a range of products from clothing and shoes to bags.

Since its inception in 2018, Saudi’s top online shopping app, 6thStreet has generated over one million downloads from Google Play Store and thousands of downloads from Apple app store. Moreover, the 6thStreet shopping mobile application has got a 4.5/5-star rating from Android users and 4.6/5 from iOS users.

If you are looking to create a similar app 6thStreet online shopping app, here is a guide where you can find information about what features and functionalities make your eCommerce app unique and the cost of online shopping app development. 

Top Features Of Online Shopping App Like 6thStreet

 Online fashion shopping apps like 6thStreet will ensure personalized shopping experiences at the convenience of users’ places. With a rise in technology advancements, high-speed internet availability, and Android/iPhone smartphone usage, the future of online shopping apps like the 6thStreet clone app development will help organizations deliver some potential values in a short time.

Many eCommerce players have already started investing in 6th Street like eCommerce app development to grab the user’s attention and market opportunities.

Here are the best features and functionalities that mobile app development companies must add to build an online shopping app like 6thStreet.

• Easy registration and simple login to ensure faster access to the eCommerce application features

• User profile management feature to allow users to manage their app accounts and app information, such as updating personal details, tracking their purchases, ongoing orders status, etc.

• Search with customer filters to help users find products by names, brands, prices, etc.
• Add to cart feature allows users to add products to their cart and continue to hassle-free checkout.
• A faster checkout and confirm order facility will help users view their invoices and confirm orders
• Wishlist feature allows users to create and save their personalized collections to purchase later. Vendors can track their customer product preferences and send notifications to improve conversions.
• Integration of multiple payment feature will make online shopping apps more personalized by facilitating a range of payment options.
• The real-time order tracking feature will assist users in tracking their order delivery status from the day their orders have been confirmed.
• Push notifications is one of the must-have features for developing an E-commerce application like 6thStreet. It helps brands send instant notifications to users about orders, payments, delivery statuses, etc.
• Flexible delivery options, including same-day delivery and delivery on user-preferred timings, help in optimizing the service quality and users’ convenience.
• Chatbot assistance feature helps users to get their queries resolved instantly as well as helps brands improve shopping experiences. Hence, enhanced customer engagement is achieved.
• Google Map integration feature helps delivery agents locate the locations of users in real time easily.
• Location-tracking feature assists users in tracking the location of their orders on the go at any time.
• Multilingual support functionality helps your application augment its reach to different language-speaking users. To create an app like 6thStreet make this feature enabled to improve audience engagement and improve user personalization.

Let’s take a look at a few advances and unique features that add potential value to 6thStreet like the top-rated online shopping app in the UAE.

 

• AR and VR Features integration

Augmented Reality (AR) and Virtual Reality (VR) technology-powered features take your e-commerce shopping app like 6thStreet to new heights. Enabling AR and VR-powered virtual trial sessions will help users try their outfits virtually and make purchasing decisions faster. It augments app experiences as well as saves users’ time.

• User Behavior Tracking Tool Integrations

 Developing 6thStreet like popular online shopping app in Qatar with Artificial Intelligence (AI) and Machine Learning (ML) powered cutting-edge technologies is a hot trend in the app development industry. AI/ML tools track customer purchasing behaviors and derive valuable insights into their actions. These insights would help brands to analyze their customer preferences and offer them personalized product recommendations, thereby AI helping ecommerce brands to improve user retention and sales.   

• Blockchain-enabled Security

Enabling blockchain-enabled security features ensures end-to-end encryption of users’ transactions, hence increasing loyalty. 

• Social Media Integrations For Quick Login and sharing

It is an essential feature to build an eCommerce app like 6th Street. Integrating social media integrations, including Facebook, Twitter, and Gmail, will help users to log in with their accounts, Additionally, it also allows users to share products that they like on social media channels with ease.

These are a few basic and advanced features that help you create a completely user-friendly e-commerce app. It is important to make a note that E-commerce app developers must focus on technology breakthroughs, customer preferences, and evolving trends to remain competitive in the industry.

  

How Much Does It Cost For 6thStreet Clone App Development?

An online and fashion shopping app like 6thStreet development might range from $30,000 to $100,000. However, factors such as platform, User Interface (UI) and User Experience (UX) designs, app type, feature complexity, third-party API integrations, mobile app developers’ team size, and location will all impact on the cost of building an online shopping app like 6thStreet.

For instance, a native eCommerce mobile app development like 6thStreet on a single platform with basic features and simple UI/UX can be developed in a range of $25,000 to $60,000. But, 6thStreet like online shopping eCommerce app development with elegant UI/UX design and advanced features like virtual customer support bots (AI Chatbots) integration, virtual trial functionalities, and Blockchain-enabled transaction procedures will potentially increase the development costs.

As discussed, the geographical location of the mobile app developers is another significant factor that influences the online shopping app development cost or 6thStreet clone app development cost. Because the hourly rate of top mobile app developers in the USA will be expensive and costs around $90 to $150 per hour compared to the e-commerce developers in India.

Similarly, platform choice is one of the key considerations that decides the overall cost of creating an app like 6th Street. The cost to hire Android app developers will vary from the iPhone app developers’ costs.

Accordingly, application type, whether you want to invest in native app development, cross-platform app development, or hybrid app development, there is a potential variation in the cost factor. Due to the lower development costs and code portability on multiple platforms, cross-platform app development reduces development costs to a great extent.

Are you looking to create a clone of 6thStreet-like top trending online shopping app in UAE?

USM Business Systems is one of the top mobile app development companies in USA with a strategic presence in India, UAE, and Saudi Arabia. With a team of expert mobile app developers with best practices in eCommerce shopping app development or online fashion shopping application development, USM (top #mobile app development company USA) develops user-friendly ecommerce apps on Android, iPhone, and web OS.

Let’s partner with USM for Flawless Ecommerce app development like 6thStreet. Get In Touch!

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See how an autonomous robot created a shock-absorbing shape no human ever could -- and what it means for designing safer helmets, packaging, car bumpers, and more.

Inside a lab in Boston University's College of Engineering, a robot arm drops small, plastic objects into a box placed perfectly on the floor to catch them as they fall. One by one, these tiny structures—feather-light, cylindrical pieces, no bigger than an inch tall—fill the box. Some are red, others blue, purple, green, or black.

Automotive manufacturer SPAL needed to upgrade its production line to meet changing market demands — including faster cycle times and reduced energy consumption.

"I'll have you eating out of the palm of my hand" is an unlikely utterance you'll hear from a robot. Why? Most of them don't have palms.

Using more robots to close labor gaps in the hospitality industry may backfire and cause more human workers to quit, according to a Washington State University study.

Using more robots to close labor gaps in the hospitality industry may backfire and cause more human workers to quit, according to a new study. The study, involving more than 620 lodging and food service employees, found that 'robot-phobia' -- specifically the fear that robots and technology will take human jobs -- increased workers' job insecurity and stress, leading to greater intentions to leave their jobs. The impact was more pronounced with employees who had real experience working with robotic technology. It also affected managers in addition to frontline workers.

A new advanced artificial intelligence (AI) algorithm more accurately model how genes associated with specific autoimmune diseases are expressed and regulated and to identify additional genes of risk. The method outperforms existing methodologies and identified 26% more novel gene and trait associations.

At Teradyne companies Universal Robots and MiR’s new joint headquarters in Odense, Denmark, industry execs discussed the transformative impact of AI and collaboration on robotics.

The 2024 IEEE International Conference on Robotics and Automation (ICRA) best paper winners and finalists in the various different categories have been announced. The recipients were revealed during an award luncheon at the conference, which took place from 13-17 May in Yokohama, Japan.

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IEEE ICRA Best Paper Award in Automation

Winner

TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers, Anoushka Alavilli, Khai Nguyen, Samuel Schoedel, Brian Plancher, and Zachary Manchester

Finalists

• A Movable Microfluidic Chip with Gap Effect for Manipulation of Oocytes, Shuzhang Liang, Satoshi Amaya, Hirotaka Sugiura, Hao Mo, Yuguo Dai, and Fumihito Arai
• Under Pressure: Learning-Based Analog Gauge Reading in the Wild, Maurits Reitsma, Julian Keller, Kenneth Blomqvist, and Roland Siegwart
• Efficient Composite Learning Robot Control Under Partial Interval Excitation, Tian Shi, Weibing Li, Haoyong Yu, and Yongping Pan
• MORALS: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space, Ewerton Vieira, Aravind Sivaramakrishnan, Sumanth Tangirala, Edgar Granados, Konstantin Mischaikow, and Kostas E. Bekris

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IEEE ICRA Best Paper Award in Cognitive Robotics

Winner

VLFM: Vision-Language Frontier Maps for Semantic Navigation, Naoki Yokoyama, Sehoon Ha, Dhruv Batra, Jiuguang Wang, and Bernadette Bucher

Finalists

• NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration, Ajay Sridhar, Dhruv Shah, Catherine Glossop, and Sergey Levine
• Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End, Chong Zhang, Jin Jin, Jonas Frey, Nikita Rudin, Matias Mattamala, Cesar Cadena Lerma, and Marco Hutter
• Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry, Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, and Wolfram Burgard
• Learning Vision-Based Bipedal Locomotion for Challenging Terrain, Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap Van Marum, Jeremy Dao, Chanho Kim, and Alan Fern

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IEEE ICRA Best Paper Award in Robot Manipulation

Winner

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention, Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jacob Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Tamas Sarlos, Kenneth Oslund, Karol Hausman, Quan Vuong, and Kanishka Rao

Finalists

• Open X-Embodiment: Robotic Learning Datasets and RT-X Models, Sergey Levine, Chelsea Finn, Ken Goldberg, Lawrence Yunliang Chen, Gaurav Sukhatme, Shivin Dass, Lerrel Pinto, Yuke Zhu, Yifeng Zhu, Shuran Song, Oier Mees, Deepak Pathak, Hao-Shu Fang, Henrik Iskov Christensen, Mingyu Ding, Youngwoon Lee, Dorsa Sadigh, Ilija Radosavovic, Jeannette Bohg, Xiaolong Wang, Xuanlin Li, Krishan Rana, Kento Kawaharazuka, Tatsuya Matsushima, Jihoon Oh, Takayuki Osa, Oliver Kroemer, Beomjoon Kim, Edward Johns, Freek Stulp, Jan Schneider, Jiajun Wu, Yunzhu Li, Heni Ben Amor, Lionel Ott, Roberto Martin-Marin, Karol Hausman, Quan Vuong, Pannag Sanketi, Nicolas Heess, Vincent Vanhoucke, Karl Pertsch, Stefan Schaal, Cheng Chi, Chuer Pan, and Alex Bewley
• Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans, Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, and Shubham Tulsiani
• Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation, Jared Mejia, Victoria Dean, Tess Hellebrekers, and Abhinav Gupta
• DenseTact-Mini: An Optical Tactile Sensor for Grasping Multi-Scale Objects From Flat Surfaces, Won Kyung Do, Ankush Ankush Dhawan, Mathilda Kitzmann, and Monroe Kennedy
• Constrained Bimanual Planning with Analytic Inverse Kinematics, Thomas Cohn, Seiji Shaw, Max Simchowitz, and Russ Tedrake

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IEEE ICRA Best Paper Award on Human-Robot Interaction

Winner

CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting, Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu, James Mccann, and Jean Oh

Finalists

• POLITE: Preferences Combined with Highlights in Reinforcement Learning, Simon Holk, Daniel Marta, and Iolanda Leite
• MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments, Junwei Zheng, Jiaming Zhang, Kailun Yang, Kunyu Peng, and Rainer Stiefelhagen
• Robot-Assisted Navigation for Visually Impaired through Adaptive Impedance and Path Planning, Pietro Balatti, Idil Ozdamar, Doganay Sirintuna, Luca Fortini, Mattia Leonori, Juan M. Gandarias, and Arash Ajoudani
• Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds, Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, Andre Meixner, Franziska Krebs, and Tamim Asfour
• Supernumerary Robotic Limbs to Support Post-Fall Recoveries for Astronauts, Erik Ballesteros, Sang-Yoep Lee, Kalind Carpenter, and Harry Asada

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IEEE ICRA Best Paper Award in Medical Robotics

Winner

Exoskeleton-Mediated Physical Human-Human Interaction for a Sit-to-Stand Rehabilitation Task, Lorenzo Vianello, Emek Baris Kucuktabak, Matthew Short, Clément Lhoste, Lorenzo Amato, Kevin Lynch, and Jose L. Pons

Finalists

• Intraoperatively Iterative Hough Transform Based In-plane Hybrid Control of Arterial Robotic Ultrasound for Magnetic Catheterization, Zhengyang Li, Magejiang Yeerbulati, and Qingsong Xu
• Efficient Model Learning and Adaptive Tracking Control of Magnetic Micro-Robots for Non-Contact Manipulation, Yongyi Jia, Shu Miao, Junjian Zhou, Niandong Jiao, Lianqing Liu, and Xiang Li
• Colibri5: Real-Time Monocular 5-DoF Trocar Pose Tracking for Robot-Assisted Vitreoretinal Surgery, Shervin Dehghani, Michael Sommersperger, Mahdi Saleh, Alireza Alikhani, Benjamin Busam, Peter Gehlbach, Ioan Iulian Iordachita, Nassir Navab, and M. Ali Nasseri
• Hybrid Volitional Control of a Robotic Transtibial Prosthesis using a Phase Variable Impedance Controller, Ryan Posh, Jonathan Allen Tittle, David Kelly, James Schmiedeler, and Patrick M. Wensing
• Design and Implementation of a Robotized Hand-held Dissector for Endoscopic Pulmonary Endarterectomy, Runfeng Zhu, Xilong Hou, Wei Huang, Lei Du, Zhong Wu, Hongbin Liu, Henry Chu, and Qing Xiang Zhao

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IEEE ICRA Best Paper Award on Mechanisms and Design

Winner

Design and Modeling of a Nested Bi-cavity-based Soft Growing Robot for Grasping in Constrained Environments, Haochen Yong, Fukang Xu, Chenfei Li, Han Ding, and Zhigang Wu

Finalists

• Optimized Design and Fabrication of Skeletal Muscle Actuators for Bio-syncretic Robots, Lianchao Yang, Chuang Zhang, Ruiqian Wang, Yiwei Zhang, and Lianqing Liu
• Lissajous Curve-Based Vibrational Orbit Control of a Flexible Vibrational Actuator with a Structural Anisotropy, Yuto Miyazaki and Mitsuru Higashimori
• Dynamic Modeling of Wing-Assisted Inclined Running with a Morphing Multi-Modal Robot, Eric Sihite, Alireza Ramezani, and Gharib Morteza

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IEEE ICRA Best Paper Award on Multi-Robot Systems

Winner

Do We Run Large-Scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling, Jonas Kuckling, Robin Luckey, Viktor Avrutin, Andrew Vardy, Andreagiovanni Reina, and Heiko Hamann

Finalists

• Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load, Shaohang Xu, Yi’An Wang, Wentao Zhang, Chin Pang Ho, and Lijun Zhu
• Learning for Dynamic Subteaming and Voluntary Waiting in Heterogeneous Multi-Robot Collaborative Scheduling, Williard Joshua Jose and Hao Zhang
• Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM, Daniel Mcgann, Kyle Lassak, and Michael Kaess
• Uncertainty-Bounded Active Monitoring of Unknown Dynamic Targets in Road-Networks with Minimum Fleet, Shuaikang Wang, Yiannis Kantaros, and Meng Guo

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IEEE ICRA Best Paper Award in Service Robotics

Winner

Learning to Walk in Confined Spaces Using 3D Representation, Takahiro Miki, Joonho Lee, Lorenz Wellhausen, and Marco Hutter

Finalists

• Censible: A Robust and Practical Global Localization Framework for Planetary Surface Missions, Jeremy Nash, Quintin Dwight, Lucas Saldyt, Haoda Wang, Steven Myint, Adnan Ansar, and Vandi Verma
• Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots, Federico Magistri, Rodrigo Marcuzzi, Elias Ariel Marks, Matteo Sodano, Jens Behley, and Cyrill Stachniss
• CoPAL: Corrective Planning of Robot Actions with Large Language Models, Frank Joublin, Antonello Ceravola, Pavel Smirnov, Felix Ocker, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Stephan Hasler, Daniel Tanneberg, and Michael Gienger
• CalliRewrite: Recovering Handwriting Behaviors from Calligraphy Images without Supervision, Yuxuan Luo, Zekun Wu, and Zhouhui Lian

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IEEE ICRA Best Paper Award in Robot Vision

Winner

NGEL-SLAM: Neural Implicit Representation-based Global Consistent Low-Latency SLAM System, Yunxuan Mao, Xuan Yu, Kai Wang, Yue Wang, Rong Xiong, and Yiyi Liao

Finalists

• HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration, Adam Misik, Driton Salihu, Xin Su, Heike Brock, and Eckehard Steinbach
• Deep Evidential Uncertainty Estimation for Semantic Segmentation under Out-Of-Distribution Obstacles, Siddharth Ancha, Philip Osteen, and Nicholas Roy
• SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking, Yu Lin, Zhiheng Li, Yubo Cui, and Zheng Fang
• Ultrafast Square-Root Filter-based VINS, Yuxiang Peng, Chuchu Chen, and Guoquan Huang
• Universal Visual Decomposer: Long-Horizon Manipulation Made Easy, Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, and Luca Weihs

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IEEE ICRA Best Paper Award on Unmanned Aerial Vehicles

Winner

Time-Optimal Gate-Traversing Planner for Autonomous Drone Racing, Chao Qin, Maxime Simon Joseph Michet, Jingxiang Chen, and Hugh H.-T. Liu

Finalists

• A Trajectory-based Flight Assistive System for Novice Pilots in Drone Racing Scenario, Yuhang Zhong, Guangyu Zhao, Qianhao Wang, Guangtong Xu, Chao Xu, and Fei Gao
• Co-Design Optimisation of Morphing Topology and Control of Winged Drones, Fabio Bergonti, Gabriele Nava, Valentin Wüest, Antonello Paolino, Giuseppe L’Erario, Daniele Pucci, and Dario Floreano
• FC-Planner: A Skeleton-guided Planning Framework for Fast Aerial Coverage of Complex 3D Scenes, Chen Feng, Haojia Li, Mingjie Zhang, Xinyi Chen, Boyu Zhou, and Shaojie Shen
• Sequential Trajectory Optimization for Externally-Actuated Modular Manipulators with Joint Locking, Jaeu Choe, Jeongseob Lee, Hyunsoo Yang, Hai-Nguyen (Hann) Nguyen, and Dongjun Lee
• Spatial Assisted Human-Drone Collaborative Navigation and Interaction through Immersive Mixed Reality, Luca Morando and Giuseppe Loianno

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IEEE ICRA Best Student Paper Award

Winner

Optimized Design and Fabrication of Skeletal Muscle Actuators for Bio-syncretic Robots, Lianchao Yang, Chuang Zhang, Ruiqian Wang, Yiwei Zhang, and Lianqing Liu

Finalists

• TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers, Anoushka Alavilli, Khai Nguyen, Samuel Schoedel, Brian Plancher, and Zachary Manchester
• Goal Masked Diffusion Policies for Unified Navigation and Exploration, Ajay Sridhar, Dhruv Shah, Catherine Glossop, and Sergey Levine
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models, Sergey Levine, Chelsea Finn, Ken Goldberg, Lawrence Yunliang Chen, Gaurav Sukhatme, Shivin Dass, Lerrel Pinto, Yuke Zhu, Yifeng Zhu, Shuran Song, Oier Mees, Deepak Pathak, Hao-Shu Fang, Henrik Iskov Christensen, Mingyu Ding, Youngwoon Lee, Dorsa Sadigh, Ilija Radosavovic, Jeannette Bohg, Xiaolong Wang, Xuanlin Li, Krishan Rana, Kento Kawaharazuka, Tatsuya Matsushima, Jihoon Oh, Takayuki Osa, Oliver Kroemer, Beomjoon Kim, Edward Johns, Freek Stulp, Jan Schneider, Jiajun Wu, Yunzhu Li, Heni Ben Amor, Lionel Ott, Roberto Martin-Martin, Karol Hausman, Quan Vuong, Pannag Sanketi, Nicolas Heess, Vincent Vanhoucke, Karl Pertsch, Stefan Schaal, Cheng Chi, Chuer Pan, and Alex Bewley
• POLITE: Preferences Combined with Highlights in Reinforcement Learning, Simon Holk, Daniel Marta, and Iolanda Leite
• Exoskeleton-Mediated Physical Human-Human Interaction for a Sit-to-Stand Rehabilitation Task, Lorenzo Vianello, Emek Baris Kucuktabak, Matthew Short, Clément Lhoste, Lorenzo Amato, Kevin Lynch, and Jose L. Pons
• Design and Modeling of a Nested Bi-cavity- based Soft Growing Robot for Grasping in Constrained Environments, Haochen Yong, Fukang Xu, Chenfei Li, Han Ding, and Zhigang Wu
• Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load, Shaohang Xu, Yi’An Wang, Wentao Zhang, Chin Pang Ho, and Lijun Zhu
• Censible: A Robust and Practical Global Localization Framework for Planetary Surface Missions, Jeremy Nash, Quintin Dwight, Lucas Saldyt, Haoda Wang, Steven Myint, Adnan Ansar, and Vandi Verma
• HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration, Adam Misik, Driton Salihu, Xin Su, Heike Brock, and Eckehard Steinbach
• A Trajectory-based Flight Assistive System for Novice Pilots in Drone Racing Scenario, Yuhang Zhong, Guangyu Zhao, Qianhao Wang, Guangtong Xu, Chao Xu, and Fei Gao

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IEEE ICRA Best Conference Paper Award

Winners

• Goal Masked Diffusion Policies for Unified Navigation and Exploration, Ajay Sridhar, Dhruv Shah, Catherine Glossop, and Sergey Levine
• Open X-Embodiment: Robotic Learning Datasets and RT-X, Sergey Levine, Chelsea Finn, Ken Goldberg, Lawrence Yunliang Chen, Gaurav Sukhatme, Shivin Dass, Lerrel Pinto, Yuke Zhu, Yifeng Zhu, Shuran Song, Oier Mees, Deepak Pathak, Hao-Shu Fang, Henrik Iskov Christensen, Mingyu Ding, Youngwoon Lee, Dorsa Sadigh, Ilija Radosavovic, Jeannette Bohg, Xiaolong Wang, Xuanlin Li, Krishan Rana, Kento Kawaharazuka, Tatsuya Matsushima, Jihoon Oh, Takayuki Osa, Oliver Kroemer, Beomjoon Kim, Edward Johns, Freek Stulp, Jan Schneider, Jiajun Wu, Yunzhu Li, Heni Ben Amor, Lionel Ott, Roberto Martin-Martin, Karol Hausman, Quan Vuong, Pannag Sanketi, Nicolas Heess, Vincent Vanhoucke, Karl Pertsch, Stefan Schaal, Cheng Chi, Chuer Pan, and Alex Bewley

Finalists

• TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers, Anoushka Alavilli, Khai Nguyen, Samuel Schoedel, Brian Plancher, and Zachary Manchester
• POLITE: Preferences Combined with Highlights in Reinforcement Learning, Simon Holk, Daniel Marta, and Iolanda Leite
• Exoskeleton-Mediated Physical Human-Human Interaction for a Sit-to-Stand Rehabilitation Task, Lorenzo Vianello, Emek Baris Kucuktabak, Matthew Short, Clément Lhoste, Lorenzo Amato, Kevin Lynch, and Jose L. Pons
• Optimized Design and Fabrication of Skeletal Muscle Actuators for Bio-syncretic Robots, Lianchao Yang, Chuang Zhang, Ruiqian Wang, Yiwei Zhang, and Lianqing Liu
• Design and Modeling of a Nested Bi-cavity- based Soft Growing Robot for Grasping in Constrained Environments, Haochen Yong, Fukang Xu, Chenfei Li, Han Ding, and Zhigang Wu
• Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load, Shaohang Xu, Yi’An Wang, Wentao Zhang, Chin Pang Ho, and Lijun Zhu
• Censible: A Robust and Practical Global Localization Framework for Planetary Surface Missions, Jeremy Nash, Quintin Dwight, Lucas Saldyt, Haoda Wang, Steven Myint, Adnan Ansar, and Vandi Verma
• HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration, Adam Misik, Driton Salihu, Xin Su, Heike Brock, and Eckehard Steinbach
• A Trajectory-based Flight Assistive System for Novice Pilots in Drone Racing Scenario, Yuhang Zhong, Guangyu Zhao, Qianhao Wang, Guangtong Xu, Chao Xu, and Fei Gao

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How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety

How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety