269 citations · 355 across the 35 of their papers we have counts for
5 papers · 1 filter
A Machine Learning Approach to Contact Localization in Variable Density Three-Dimensional Tactile Artificial Skin
Carson Kohlbrenner, Mitchell Murray, Yutong Zhang +5
Estimating the location of contact is a primary function of artificial tactile sensing apparatuses that perceive the environment through touch. Existing contact localization method…
Just Add Force for Contact-Rich Robot Policies
William Xie, Stefan Caldararu, Nikolaus Correll
Robot trajectories used for learning end-to-end robot policies typically contain end-effector and gripper position, workspace images, and language. Policies learned from such traje…
DeliGrasp: Inferring Object Properties with LLMs for Adaptive Grasp Policies
William Xie, Maria Valentini, Jensen Lavering +1
Large language models (LLMs) can provide rich physical descriptions of most worldly objects, allowing robots to achieve more informed and capable grasping. We leverage LLMs' common…
A versatile robotic hand with 3D perception, force sensing for autonomous manipulation
Nikolaus Correll, Dylan Kriegman, Stephen Otto +1
We describe a force-controlled robotic gripper with built-in tactile and 3D perception. We also describe a complete autonomous manipulation pipeline consisting of object detection,…
Software Engineering for Robotics: Future Research Directions; Report from the 2023 Workshop on Software Engineering for Robotics
Claire Le Goues, Sebastian Elbaum, David Anthony +7
Robots are experiencing a revolution as they permeate many aspects of our daily lives, from performing house maintenance to infrastructure inspection, from efficiently warehousing…