Robotics experts Elephant Robotics have launched their latest 6-axis robotic arm in the form of the myCobot Pro 630. With a working radius of 630mm and a payload capacity of up to 2 kilos, the Pro 630 is accessible to robotics newcomers and students, while capable of commercial industrial automation tasks. Building on the Pro […]
Robotics experts Elephant Robotics have launched their latest 6-axis robotic arm in the form of the myCobot Pro 630. With a working radius of 630mm and a payload capacity of up to 2 kilos, the Pro 630 is accessible to robotics newcomers and students, while capable of commercial industrial automation tasks. Building on the Pro […]
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.
Mobile robots can transport payloads far greater than their mass through vehicle traction. However, off-road terrain features substantial variation in height, grade, and friction, which can cause traction to degrade or fail catastrophically. This paper presents a system that utilizes a vehicle-mounted, multipurpose manipulator to physically adapt the robot with unique anchors suitable for a particular terrain for autonomous payload transport.
Wing posts a video with the title “What Do Wing’s Drones Sound Like” but only includes a brief snippet—though nothing without background room noise—revealing to curious viewers and listeners exactly what Wing’s drones sound like.
Because, look, a couple seconds of muted audio underneath a voiceover is in fact not really answering the question.
This first instance of ROB 450 in Winter 2024 challenged students to synthesize the knowledge acquired through their Robotics undergraduate courses at the University of Michigan to use a systematic and iterative design and analysis process and apply it to solving a real, open-ended Robotics problem.
This Microsoft Future Leaders in Robotics and AI Seminar is from Catie Cuan at Stanford, on “Choreorobotics: Teaching Robots How to Dance With Humans.”
As robots transition from industrial and research settings into everyday environments, robots must be able to (1) learn from humans while benefiting from the full range of the humans’ knowledge and (2) learn to interact with humans in safe, intuitive, and social ways. I will present a series of compelling robot behaviors, where human perception and interaction are foregrounded in a variety of tasks.
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.
DARPA’s Robotic Autonomy in Complex Environments with Resiliency (RACER) program recently conducted its fourth experiment (E4) to assess the performance of off-road unmanned vehicles. These tests, conducted in Texas in late 2023, were the first time the program tested its new vehicle, the RACER Heavy Platform (RHP). The video shows autonomous route following for mobility testing and demonstration, including sensor point cloud visualizations.
The 12-ton RHP is significantly larger than the 2-ton RACER Fleet Vehicles (RFVs) already in use in the program. Using the algorithms on a very different platform helps RACER toward its goal of platform agnostic autonomy of combat-scale vehicles in complex, mission-relevant off-road environments that are significantly more unpredictable than on-road conditions.
In our new Science Roboticspaper, we introduce an autonomous navigation system developed for our wheeled-legged quadrupeds, designed for fast and efficient navigation within large urban environments. Driven by neural network policies, our simple, unified control system enables smooth gait transitions, smart navigation planning, and highly responsive obstacle avoidance in populated urban environments.
Generation 7 of “Phoenix” robots include improved human-like range of motion. Improvements in uptime, visual perception, and tactile sensing increase the capability of the system to perform complex tasks over longer periods. Design iteration significantly decreases build time. The speed at which new tasks can be automated has increased 50x, marking a major inflection point in task automation speed.
We’re proud to celebrate our one millionth commercial delivery—that’s a million deliveries of lifesaving blood, critical vaccines, last-minute groceries, and so much more. But the best part? This is just the beginning.
We propose a novel humanoid TWIMP, which combines a human mimetic musculoskeletal upper limb with a two-wheel inverted pendulum. By combining the benefit of a musculoskeletal humanoid, which can achieve soft contact with the external environment, and the benefit of a two-wheel inverted pendulum with a small footprint and high mobility, we can easily investigate learning control systems in environments with contact and sudden impact.
Ballbots are uniquely capable of pushing wheelchairs—arguably better than legged platforms, because they can move in any direction without having to reposition themselves.
Charge Robotics is building robots that automate the most labor-intensive parts of solar construction. Solar has rapidly become the cheapest form of power generation in many regions. Demand has skyrocketed, and now the primary barrier to getting it installed is labor logistics and bandwidth. Our robots remove the labor bottleneck, allowing construction companies to meet the rising demand for solar, and enabling the world to switch to renewables faster.
The QUT CGRAS project’s robot prototype captures images of baby corals, destined for the Great Barrier Reef, monitoring and counting them in grow tanks. The team uses state-of-the-art AI algorithms to automatically detect and count these coral babies and track their growth over time – saving human counting time and money.
We are conducting research to develop Unmanned Aerial Systems to aid in wildfire monitoring. The hazardous, dynamic, and visually degraded environment of wildfire gives rise to many unsolved fundamental research challenges.
In March 2024, Northwestern University’s Center for Robotics and Biosystems demonstrated the Omnid mobile collaborative robots (mocobots) at MARS, a conference in Ojai, California on Machine learning, Automation, Robotics, and Space, hosted by Jeff Bezos. The “swarm” of mocobots is designed to collaborate with humans, allowing a human to easily manipulate large, heavy, or awkward payloads. In this case, the mocobots cancel the effect of gravity, so the human can easily manipulate the mock airplane wing in six degrees of freedom. In general, human-cobot systems combine the best of human capabilities with the best of robot capabilities.
EELS, or Exobiology Extant Life Surveyor, is a versatile, snake-like robot designed for exploration of previously inaccessible terrain. This talk on EELS was presented at the 2024 Amazon MARS conference.
The convergence of AI and robotics will unlock a wonderful new world of possibilities in everyday life, says robotics and AI pioneer Daniela Rus. Diving into the way machines think, she reveals how “liquid networks”—a revolutionary class of AI that mimics the neural processes of simple organisms—could help intelligent machines process information more efficiently and give rise to “physical intelligence” that will enable AI to operate beyond digital confines and engage dynamically in the real world.
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.
RoboCup 2024: 17–22 July 2024, EINDHOVEN, NETHERLANDS
Enjoy today’s videos!
We present Human to Humanoid (H2O), a reinforcement learning (RL) based framework that enables real-time, whole-body teleoperation of a full-sized humanoid robot with only an RGB camera. We successfully achieve teleoperation of dynamic, whole-body motions in real-world scenarios, including walking, back jumping, kicking, turning, waving, pushing, boxing, etc. To the best of our knowledge, this is the first demonstration to achieve learning-based, real-time, whole-body humanoid teleoperation.
Legged robots have the potential to traverse complex terrain and access confined spaces beyond the reach of traditional platforms thanks to their ability to carefully select footholds and flexibly adapt their body posture while walking. However, robust deployment in real-world applications is still an open challenge. In this paper, we present a method for legged locomotion control using reinforcement learning and 3D volumetric representations to enable robust and versatile locomotion in confined and unstructured environments.
Improving the safety of collaborative manipulators necessitates the reduction of inertia in the moving part. We introduce a novel approach in the form of a passive, 3D wire aligner, serving as a lightweight and low-friction power transmission mechanism, thus achieving the desired low inertia in the manipulator’s operation.
Robot Era just launched Humanoid-Gym, an open-source reinforcement learning framework for bipedal humanoids. As you can see from the video, RL algorithms have given the robot, called Xiao Xing, or XBot, the ability to climb up and down haphazardly stacked boxes with relative stability and ease.
More than 80% of stroke survivors experience walking difficulty, significantly impacting their daily lives, independence, and overall quality of life. Now, new research from the University of Massachusetts Amherst pushes forward the bounds of stroke recovery with a unique robotic hip exoskeleton, designed as a training tool to improve walking function. This invites the possibility of new therapies that are more accessible and easier to translate from practice to daily life, compared to current rehabilitation methods.
DJI drones work to make the world a better place and one of the ways that we do this is through conservation work. We partnered with Halo Robotics and the OFI Orangutan Foundation International to showcase just how these drones can make an impact.
The aim of the test is to demonstrate the removal and replacement of satellite modules into a 27U CubeSat format using augmented reality control of a robot. In this use case, the “client” satellite is being upgraded and refueled using modular componentry. The robot will then remove the failed computer module and place it in a fixture. It will then do the same with the propellant tank. The robot will then place these correctly back into the satellite.
This video features some of the highlights and favorite moments from the CYBATHLON Challenges 2024 that took place on 2 February, showing so many diverse types of assistive technology taking on discipline tasks and displaying pilots’ tenacity and determination. The Challenges saw new teams, new tasks, and new formats for many of the CYBATHLON disciplines.
Small drones for catastrophic wildfires (ones covering more than [40,470 hectares]) are like bringing a flashlight to light up a football field. This short video describes the major uses for drones of all sizes and why and when they are used, or why not.
DARPA’s Learning Introspective Control (LINC) program is developing machine learning methods that show promise in making that scenario closer to reality. LINC aims to fundamentally improve the safety of mechanical systems—specifically in ground vehicles, ships, drone swarms, and robotics—using various methods that require minimal computing power. The result is an AI-powered controller the size of a cell phone.
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