Archive 16.11.2022

Building a responsible approach to data collection with the Partnership on AI...

Building a responsible approach to data collection with the Partnership on AI...

Building a responsible approach to data collection with the Partnership on AI...

Building a responsible approach to data collection with the Partnership on AI...

Building a responsible approach to data collection with the Partnership on AI...

Building a responsible approach to data collection with the Partnership on AI...

Researchers at North Carolina State University have created a ring-shaped soft robot capable of crawling across surfaces when exposed to elevated temperatures or infrared light. The researchers have demonstrated that these "ringbots" are capable of pulling a small payload across the surface—in ambient air or under water, as well as passing through a gap that is narrower than its ring size.

The vision system performs three key tasks: scanning in 3D the raw white vessels; analyzing the 3D scans to establish the vessels’ size, shape, position; and communicating the results to the cobot so it can accurately reach the teacups as they move along the production line.

Robots that can automatically recognize and track specific odors could have a wide range of valuable applications. For instance, they could help to identify the sources of harmful chemical substances in the air after hazardous accidents at power plants, explosions, or other disasters.

6-axis robots in particular, aside from being among the most widely-used industrial machines in general, have become known as the trusted workhorse of injection molding loading and unloading.

Did you have the chance to attend the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) in Kyoto? Here we bring you the papers that received an award this year in case you missed them. Congratulations to all the winners and finalists!

Best Paper Award on Cognitive Robotics

Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation. Payam Jome Yazdian, Mo Chen, and Angelica Lim.

Best RoboCup Paper Award

RCareWorld: A Human-centric Simulation World for Caregiving Robots. Ruolin Ye, Wenqiang Xu, Haoyuan Fu, Rajat Kumar, Jenamani, Vy Nguyen, Cewu Lu, Katherine Dimitropoulou, and Tapomayukh Bhattacharjee.

SpeedFolding: Learning Efficient Bimanual Folding of Garments. Yahav Avigal, Lars Burscheid, Tamim Asfour, Torsten Kroeger, and Ken Goldberg.

Best Paper Award on Robot Mechanisms and Design

Aerial Grasping and the Velocity Sufficiency Region. Tony G. Chen, Kenneth Hoffmann, JunEn Low, Keiko Nagami, David Lentink, and Mark Cutkosky.

Best Entertainment and Amusement Paper Award

Robot Learning to Paint from Demonstrations. Younghyo Park, Seunghun Jeon, and Taeyoon Lee.

Best Paper Award on Safety, Security, and Rescue Robotics

Power-based Safety Layer for Aerial Vehicles in Physical Interaction using Lyapunov Exponents. Eugenio Cuniato, Nicholas Lawrance, Marco Tognon, and Roland Siegwart.

Best Paper Award on Agri-Robotics

Explicitly Incorporating Spatial Information to Recurrent Networks for Agriculture. Claus Smitt, Michael Allan Halstead, Alireza Ahmadi, and Christopher Steven McCool.

Best Paper Award on Mobile Manipulation

Robot Learning of Mobile Manipulation with Reachability Behavior Priors. Snehal Jauhri, Jan Peters, and Georgia Chalvatzaki.

Best Application Paper Award

Soft Tissue Characterisation Using a Novel Robotic Medical Percussion Device with Acoustic Analysis and Neural Networks. Pilar Zhang Qiu, Yongxuan Tan, Oliver Thompson, Bennet Cobley, and Thrishantha Nanayakkara.

Best Paper Award for Industrial Robotics Research for Applications

Absolute Position Detection in 7-Phase Sensorless Electric Stepper Motor. Vincent Groenhuis, Gijs Rolff, Koen Bosman, Leon Abelmann, and Stefano Stramigioli.

ABB Best Student Paper Award

FAR Planner: Fast, Attemptable Route Planner using Dynamic Visibility Update. Fan Yang, Chao Cao, Hongbiao Zhu, Jean Oh, and Ji Zhang.

Best Paper Award

SpeedFolding: Learning Efficient Bimanual Folding of Garments. Yahav Avigal, Lars Berscheid, Tamim Asfour, Torsten Kroeger, and Ken Goldberg.

Episode 20 – Paul Dominick Baniqued

Claire talked to Dr Paul Dominick Baniqued from The University of Manchester all about brain-computer interface technology and rehabilitation robotics.

Paul Dominick Baniqued received his PhD in robotics and immersive technologies at the University of Leeds. His research tackled the integration of a brain-computer interface with virtual reality and hand exoskeletons for motor rehabilitation and skills learning. He is currently working as a postdoc researcher on cyber-physical systems and digital twins at the Robotics for Extreme Environments Group at the University of Manchester.

Episode 21 – Sean Katagiri

Claire chatted to Sean Katagiri from The National Robotarium all about underwater robots, offshore energy, and other industrial applications of robotics.

Sean Katagiri is a robotics engineer who has the pleasure of being surrounded by and working with robots for a living. His experience in robotics mainly comes from the subsea domain, but has also worked with wheeled and legged ground robots as well. Sean is very excited to have recently started his role at The National Robotarium, whose goal is to bring ideas from academia and turn them into real world solutions.

Episode 22 – Iveta Eimontaite

Claire talked to Dr Iveta Eimontaite from Cranfield University about psychology, human-robot interaction, and industrial robots.

Iveta Eimontaite studied Cognitive Neuroscience at the University of York and completed her PhD in Cognitive Psychology at Hull University. Prior to joining Cranfield University, Iveta held research positions at Bristol Robotics Laboratory and Sheffield Robotics. Her work mainly focuses on behavioural and cognitive aspects of Human-Technology Interaction, with particular interest in user needs and requirements for the successful integration of technology within the workplace/social environments.

Mickey Li

Claire talked to Mickey Li from the University of Bristol about aerial robotics, building inspection and multi-robot teams.

Mickey Li is a Robotics and Autonomous systems PhD researcher at the Bristol Robotics Laboratory and the University of Bristol. His research focuses on optimal multi-UAV path planning for building inspection, in particular how guarantees can be provided despite vehicle failures. Most recently he has been developing a portable development and deployment infrastructure for multi-UAV experimentation for the BRL Flight Arena inspired by advances in cloud computing.

A new study by Missouri S&T researchers shows how human subjects, walking hand-in-hand with a robot guide, stiffen or relax their arms at different times during the walk. The researchers' analysis of these movements could aid in the design of smarter, more humanlike robot guides and assistants.

Humans have always been fascinated by scales different than theirs, from giant objects such as stars, planets and galaxies, to the world of the tiny: insects, bacteria, viruses and other microscopic objects. While the microscope allows us to view and observe the microscopic world, it is still difficult to interact with it directly.

A team of researchers at the University of Toronto has found a way to enhance the visual perception of robotic systems by coupling two different types of neural networks.