science wire

Getting robots to perform even a simple task requires tons of behind-the-scenes work. Part of the challenge is planning and executing movements, everything from turning wheels to lifting a robotic arm. To make this happen, roboticists collaborate with programmers to develop a set of trajectories - or pathways - that are clear of obstacles and doable for the robot.

Combining robotics and ChatGPT Prof Angela Schoellig from the Technical University of Munich (TUM) uses ChatGPT to develop choreographies for swarms of drones to perform along to music. An additional safety filter prevents mid-air collisions. The researchers' results demonstrate the first time that large language models (LLMs) such as ChatGPT can be used in robotics.

Carnegie Mellon researchers from its Robotics Institute (RI) and College of Engineering are packing up  fossil-inspired paleobionics , robotic hands and  autonomous aerial vehicles to demonstrate to members of Congress and their staff at "Robotics for a Better Tomorrow: Robotics Showcase and Demo Day," in Washington, D.C. on April 30.

The University of Bonn's Team NimbRo was the top scoring team in the @Home league for household robots at the RoboCup German Open, held in Kassel from April 18-20.

Autonomous system devised by a Johns Hopkins doctoral candidate IDs and treats internal bleeding to prevent pre-hospital deaths when minutes matter A Johns Hopkins University doctoral candidate is de

With rapid developments in artificial intelligence and robot technology, social robots will increasingly be used in society.

To create smarter materials that will transform robotics, researchers must work together. That was the thinking behind the four year SMART project, which united fifteen early-stage researchers from robotics and materials science - and turned them into friends.

With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores. From wiping up spills to serving up food, robots are being taught to carry out increasingly complicated household tasks. Many such home-bot trainees are learning through imitation; they are programmed to copy the motions that a human physically guides them through.

The Autonomous System for Tumor Resection, designed by a team of Johns Hopkins researchers, can remove tumors from the tongue with accuracy rivaling-or even potentially exceeding-that of human surgeons Removal of cancerous tumors, or resection, in delicate areas like the head and neck is a challenge for even the most experienced surgeons.

The quadrupedal robot ANYmal went back to school and has learned a lot. researchers used machine learning to teach it new skills: the robot can now climb over obstacles and successfully negotiate pitfalls.

A team of engineers and physiotherapists from the Robotics and Multibody Mechanics laboratory (R&MM) and the research group Human Physiology and Sports Physiotherapy (MFYS) is busy preparing for the 2024 CYBATHLON.

The Dutch Research Council (NWO) has awarded two TU Delft researchers a Vici grant of up to 1.5 million euros.

The Dutch Research Council (NWO) has awarded three TU Delft researchers a Vici grant of up to 1.5 million euros.

No one could blame Carnegie Mellon University students Akhil Padmanabha and Janavi Gupta if they were a bit anxious this past August as they traveled to the Bay Area home of Henry and Jane Evans.

By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

NRW state premier Wüst visits the Humanoid Robots Lab at the University of Bonn The state premier of North Rhine-Westphalia, Hendrik Wüst, visited the Humanoid Robots Lab at the University of Bonn on Thursday afternoon.

Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation, and help train surgeons and pilots. You've likely met someone who identifies as a visual or auditory learner, but others absorb knowledge through a different modality: touch.

Experts from across the world, led by UCL scientists, have created a framework to evaluate the use of robots for surgical procedures. Experts from across the world, led by UCL scientists, have created a framework to evaluate the use of robots for surgical procedures. In 1999, Intuitive emerged as a pioneer in the field of robot-assisted surgery with the launch of their da Vinci system.

Imagine a coffee cup sitting on a table. Now, imagine a book partially obscuring the cup. As humans, we still know what the coffee cup is even though we can't see all of it. But a robot might be confused. Robots in warehouses and even around our houses struggle to identify and pick up objects if they are too close together, or if a space is cluttered.

It abseils down from a height and swings around obstacles: Robot Avocado will one day maneuver through the canopy of the rainforest and collect data for researchers about this difficult-to-access habitat .

A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.

An effort to create a control model that moves seamlessly between different activities like standing, walking and climbing stairs is renewed by the National Institutes of Health A smoother experience

Nuclear power stations could be decommissioned in the future with the help of teams of autonomous robots known as the SMuRFs, scientists have suggested. Nuclear power stations could be decommissioned in the future with the help of teams of autonomous robots known as the SMuRFs, scientists have suggested.

A doctoral researcher studying architecture at ETH Zurich is using 3D printing to produce lightweight insulation building components from cement-free mineral foams derived from recycled industrial waste. These could cut heating and cooling costs for buildings, and encourage more efficient use of construction materials.

MIT CSAIL researchers established new connections between combinatorial and continuous optimization, which can find global solutions for complex motion-planning puzzles. It isn't easy for a robot to find its way out of a maze. Picture the machines trying to traverse a kid's playroom to reach the kitchen, with miscellaneous toys scattered across the floor and furniture blocking some potential paths.

According to data from 2010, around 1.8 million people in the U.S. can't eat on their own.

By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.

Science, Health & Technology Lou Corpuz-Bosshart Smart soft sensor can improve prosthetics and enhance human-robot interaction Smart, stretchable and highly sensitive, a new soft sensor developed by

Since the celebrated opening of Mill 19 four years ago, Carnegie Mellon University's Manufacturing Futures Institute (MFI) has been steadily outfitting the advanced manufacturing facility with state-o

R&D Vision Includes Adapting Wireless Technology for Drones and Robots in Factories - CEA-Leti today announced a new R&D initiative to contribute to a higher level of vehicle automation and

MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways. Imagine grasping a heavy object, like a pipe wrench, with one hand. You would likely grab the wrench using your entire fingers, not just your fingertips. Sensory receptors in your skin, which run along the entire length of each finger, would send information to your brain about the tool you are grasping.

Sharmi Shah '23 pursued Course 2-A/6, a customizable degree path that combines mechanical engineering with computer science and electrical engineering.

Lincoln Laboratory hosts students enrolled in the Massachusetts Microelectronics Internship Program, aimed at training a new generation of microelectronics leaders.