Category robots in business

In recent years, roboticists and computer scientists have been developing a wide range of systems that can detect objects in their environment and navigate it accordingly. Most of these systems are based on machine learning and deep learning algorithms trained on large image datasets.

Early security robots either sent live video feeds to remote operators or recorded video data for future use. Advances in machine learning let robots recognize objects and movements in real-time, letting them react independently to their situation.

In a paper published on February 23, 2022 in Nature Machine Intelligence, a team of scientists at the Max Planck Institute for Intelligent Systems (MPI-IS) introduce a robust soft haptic sensor named "Insight" that uses computer vision and a deep neural network to accurately estimate where objects come into contact with the sensor and how large the applied forces are. The research project is a significant step toward robots being able to feel their environment as accurately as humans and animals. Like its natural counterpart, the fingertip sensor is very sensitive, robust, and high-resolution.

In this episode, Audrow Nash speaks to Tim Chung, Program Manager in the Tactical Technology Office at the Defense Advanced Research Projects Agency (DARPA), on the DARPA Subterranean (SubT) Challenge. The SubT Challenge is a robotics challenge that aims to develop innovative technologies that would augment operations underground. In this conversation, they talk about the motivation of the SubT Challenge, its systems (hardware) and virtual (simulation) challenges, how the resulting technology has been shared with the world, on benchmarking the robotics behaviors in simulation, on the challenge of scoping the SubT Challenge, and on building the final environment for the systems challenge.

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• The SubT Challenge’s Website
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• DARPAtv’s YouTube Channel
• SubT’s Repository on OSRF

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An average of 3,500 pallets are delivered and picked there every day. A large part of the pallets is depalletized with Piab’s DURAFLEX® suction cups BX52P and fed into the order picking chain.

Innovative airborne radars could soon be used to measure snow depth in New Zealand's alpine areas, helping to predict avalanche risk and monitoring the impacts of climate change.

If faced with the choice of sending a swarm of full-sized, distinct robots to space, or a large crew of smaller robotic modules, you might want to enlist the latter. Modular robots, like those depicted in films such as "Big Hero 6," hold a special type of promise for their self-assembling and reconfiguring abilities. But for all of the ambitious desire for fast, reliable deployment in domains extending to space exploration, search and rescue, and shape-shifting, modular robots built to date are still a little clunky. They're typically built from a menagerie of large, expensive motors to facilitate movement, calling for a much-needed focus on more scalable architectures—both up in quantity and down in size.

Socially assistive robots (SARS) are a class of robotic systems specifically designed to help vulnerable or older users to complete everyday activities. In addition to increasing their independence, these robots could stimulate users mentally and offer basic emotional support.

Modern manufacturing requires facilities to maximize efficiency and ensure product quality. However, space limitations can impede these goals. Integrating elevations and line egress solutions will grant your facility the flexibility it needs to succeed.

To interact with elements in the virtual world, common VR headsets usually come with controllers. Users hold these in their hands as they interact with all elements of the virtual user interface. However, the controllers usually do not feel like they look in virtual space. This reduces immersion, i.e., the feeling of how realistic the VR world is perceived.

Learn how Rajant Corporation, PBE Group, and Australian Droid + Robot – as part of a #MSHA (U.S. Department of Labor)-backed mine safety mission – achieved a historic unmanned underground mine inspection at one of the US’ largest underground room and pillar limestone operations in this comprehensive IM report.

Using ten ADR Explora XL unmanned robots, a Rajant wireless Kinetic Mesh below-ground communication network, and PBE hardware and technology, a horizontal mobile infrastructure distance of 1.7 km was achieved. This allowed the unmanned robots to record high-definition video and LiDAR to create a virtual 3D mine model to assess the condition of the mine, for the deepest remote underground mine inspection in history.

The inspection made it possible for MSHA to conclude within a very short time that it was safe to re-enter the operation and begin remediation efforts, which included allowing mine personnel back into the mine to re-establish power and communications, after which mining was able to recommence quickly at the site.

The project, in many ways, is the ultimate example of necessity breeding innovation. It also showcased the capability of Rajant wireless mesh networks underground to facilitate autonomous mining operations where underground Wi-Fi would not be up to the task.

At Arla's dairy in Taulov, Denmark, apron-clad dairy workers have been joined by a shiny silver and red-eyed colleague—a robot that helps them produce delicious Danish Havarti, Danbo and Maribo cheeses.

A team of researchers at University of California, Los Angeles (UCLA)'s Center for Vision, Cognition, Learning, and Autonomy (VCLA), led by Prof. Song-Chun Zhu, recently developed an approach that could help to align a human user's assessment of what a robot can do with its true capabilities. This approach, presented in a paper published in IEEE Robotics and Automation Letters, is based on a new algorithm that simultaneously optimizes the physical cost and expressiveness of a robot's motion, to determine how well human observers would estimate its reachable workspace.

Developing robots inspired by animals and other biological systems has become a key research focus for many roboticists worldwide. By artificially reproducing biological mechanisms, these robots could help to automate complex real-world tasks in efficient and reliable ways.

Zurich-based startup MyoSwiss has developed a lightweight exoskeleton that works like an e-bike for the legs. It assists the wearer’s movements with electronic reinforcement.