activity
20172026
most citedTrajectory Deformations from Physical Human-Robot Interaction

93 citations · 290 across the 33 of their papers we have counts for

collaborators
Showing 2021Show all

9 papers · 1 filter

cs.RO2021

Wrapped Haptic Display for Communicating Physical Robot Learning

Antonio Alvarez Valdivia, Ritish Shailly, Naman Seth +3

Physical interaction between humans and robots can help robots learn to perform complex tasks. The robot arm gains information by observing how the human kinesthetically guides it…

cs.RO2021★ 2 cited

Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback

James F. Mullen, Josh Mosier, Sounak Chakrabarti +3

Robots learn as they interact with humans. Consider a human teleoperating an assistive robot arm: as the human guides and corrects the arm's motion, the robot gathers information a…

cs.RO2021

Learning Latent Actions without Human Demonstrations

Shaunak A. Mehta, Sagar Parekh, Dylan P. Losey

We can make it easier for disabled users to control assistive robots by mapping the user's low-dimensional joystick inputs to high-dimensional, complex actions. Prior works learn t…

cs.RO2021

Learning Latent Actions to Control Assistive Robots

Dylan P. Losey, Hong Jun Jeon, Mengxi Li +5

Assistive robot arms enable people with disabilities to conduct everyday tasks on their own. These arms are dexterous and high-dimensional; however, the interfaces people must use…

cs.RO2021

Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections

Dylan P. Losey, Andrea Bajcsy, Marcia K. O'Malley +1

When a robot performs a task next to a human, physical interaction is inevitable: the human might push, pull, twist, or guide the robot. The state-of-the-art treats these interacti…

cs.HC2021★ 4 cited

Here's What I've Learned: Asking Questions that Reveal Reward Learning

Soheil Habibian, Ananth Jonnavittula, Dylan P. Losey

Robots can learn from humans by asking questions. In these questions the robot demonstrates a few different behaviors and asks the human for their favorite. But how should robots c…

cs.RO2021

Learning to Share Autonomy Across Repeated Interaction

Ananth Jonnavittula, Dylan P. Losey

Wheelchair-mounted robotic arms (and other assistive robots) should help their users perform everyday tasks. One way robots can provide this assistance is shared autonomy. Within s…

cs.RO2021★ 7 cited

Learning Visually Guided Latent Actions for Assistive Teleoperation

Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey +1

It is challenging for humans -- particularly those living with physical disabilities -- to control high-dimensional, dexterous robots. Prior work explores learning embedding functi…

cs.RO2021★ 2 cited

Learning Human Objectives from Sequences of Physical Corrections

Mengxi Li, Alper Canberk, Dylan P. Losey +1

When personal, assistive, and interactive robots make mistakes, humans naturally and intuitively correct those mistakes through physical interaction. In simple situations, one corr…