Patrick Dills — accepted AI-conference papers

2026

Dead Zone Bilateral Control for High Performance Robotic Teleoperation

Rohan Kota, Patrick Dills, Gregory Reardon, Matthew L. Elwin, J. Edward Colgate

RA-L 2026

Autonomous robot policies are commonly trained using demonstration data acquired via robotic teleoperation, a process which can be time-intensive and physically demanding for human operators. Bilateral control can speed up robotic teleoperation by allowing the operator to feel the forces experienced

Cited by 0 Source ↗Scholar ↗

2021

An Investigation of a Balanced Hybrid Active-Passive Actuator for Physical Human-Robot Interaction

Patrick Dills, Alexander Dawson-Elli, Kreg Gruben, Peter G. Adamczyk, Michael R. Zinn

RA-L 2021

Cooperative robots or “cobots” promise to allow humans and robots to work together more closely while maintaining safety. However, to date the capabilities of cobots are greatly diminished compared to industrial robots in terms of the force and power they are able to safely produce. This is in part

Cited by 3 Source ↗Scholar ↗