30 citations · 35 across the 8 of their papers we have counts for
13 papers
Active Exploration for Real-Time Haptic Training
Jake Ketchum, Ahalya Prabhakar, Todd D. Murphey
Tactile perception is important for robotic systems that interact with the world through touch. Touch is an active sense in which tactile measurements depend on the contact propert…
Scale-Invariant Specifications for Human-Swarm Systems
Joel Meyer, Ahalya Prabhakar, Allison Pinosky +9
We present a method for controlling a swarm using its spectral decomposition -- that is, by describing the set of trajectories of a swarm in terms of a spatial distribution through…
User-specific, Adaptable Safety Controllers Facilitate User Adoption in Human-Robot Collaboration
Ahalya Prabhakar, Aude Billard
As assistive and collaborative robots become more ubiquitous in the real-world, we need to develop interfaces and controllers that are safe for users to build trust and encourage a…
Proceedings of the AI-HRI Symposium at AAAI-FSS 2022
Zhao Han, Emmanuel Senft, Muneeb I. Ahmad +12
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Symposium has been a successful venue of discussion and collaboration on AI theory and methods aimed at HRI since…
Audio-Visual Object Classification for Human-Robot Collaboration
A. Xompero, Y. L. Pang, T. Patten +3
Human-robot collaboration requires the contactless estimation of the physical properties of containers manipulated by a person, for example while pouring content in a cup or moving…
Multimodal Sensory Learning for Real-time, Adaptive Manipulation
Ahalya Prabhakar, Stanislas Furrer, Lorenzo Panchetti +2
Adaptive control for real-time manipulation requires quick estimation and prediction of object properties. While robot learning in this area primarily focuses on using vision, many…