45 citations · 67 across the 8 of their papers we have counts for
5 papers · 1 filter
Improved Object Pose Estimation via Deep Pre-touch Sensing
Patrick Lancaster, Boling Yang, Joshua R. Smith
For certain manipulation tasks, object pose estimation from head-mounted cameras may not be sufficiently accurate. This is at least in part due to our inability to perfectly calibr…
Electrostatic Brakes Enable Individual Joint Control of Underactuated, Highly Articulated Robots
Patrick Lancaster, Christoforos Mavrogiannis, Siddhartha Srinivasa +1
Highly articulated organisms serve as blueprints for incredibly dexterous mechanisms, but building similarly capable robotic counterparts has been hindered by the difficulties of d…
Optical Proximity Sensing for Pose Estimation During In-Hand Manipulation
Patrick Lancaster, Pratik Gyawali, Christoforos Mavrogiannis +2
During in-hand manipulation, robots must be able to continuously estimate the pose of the object in order to generate appropriate control actions. The performance of algorithms for…
Benchmarking Robot Manipulation with the Rubik's Cube
Boling Yang, Patrick E. Lancaster, Siddhartha S. Srinivasa +1
Benchmarks for robot manipulation are crucial to measuring progress in the field, yet there are few benchmarks that demonstrate critical manipulation skills, possess standardized m…
Motivating Physical Activity via Competitive Human-Robot Interaction
Boling Yang, Golnaz Habibi, Patrick E. Lancaster +2
This project aims to motivate research in competitive human-robot interaction by creating a robot competitor that can challenge human users in certain scenarios such as physical ex…