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human-robot interaction
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Robotic wheelchairs may soon be able to move through crowds smoothly and safely. As part of CrowdBot, EPFL researchers are exploring the technical, ethical and safety issues related to this kind of technology. The aim of the project is to eventually help the disabled get around more easily.
Human-robot interaction focuses on teaching robots from third-person observations of demonstrations to make it invariant and robust to the embodiment differences.
Impact of personally relevant robotic failures (PeRFs) which would reduce trust in robots and robots’ likeability and willingness to use more than failures that are not personal to the user.
Franka Emika Robot was created primarily for human-robot collaboration. Robot belongs to the group of so-called lightweight robots, weighing 18 kg, and is capable of manipulating objects weighing up to 3 kg with its secure gripper.
Tapomayukh Bhattacharjee has been working on assistive robotics for approximately a decade, and in speaking to the people who would benefit from new technologies, he’s come to a few realizations.
Two EPFL research groups teamed up to develop a machine-learning program that can be connected to a human brain and used to command a robot. The program adjusts the robot’s movements based on electrical signals from the brain.
It’s been known for some time that organic neuromorphic robots can learn. Now they can move too. Autonomously.
In the recently launched ROMATRIS project, the German Research Center for Artificial Intelligence (DFKI) and the Federal Agency for Technical Relief (THW) want to develop robots that can follow emergency forces through rough terrain while transporting payloads, such as heavy equipment.
A Stanford AI team creates benchmarks for 100 everyday household tasks for robot assistants, creating a path for more useful agents.
$2M project aims to partner humans with robots for safer jobsites.
Basic safety needs in the paleolithic era have largely evolved with the onset of the industrial and cognitive revolutions. We interact a little less with raw materials, and interface a little more with machines.
From robots that offer solace to algorithms that help judges make fact-based decisions, robotics and machine learning are entering new domains that were once the preserve of humans.
Peter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration.
Joseph DelPreto is a PhD candidate at MIT CSAIL working on making human-robot interfaces more accessible and effective by using wearable sensors and biosignals.