48 citations · 52 across the 6 of their papers we have counts for
7 papers
Tune to Learn: How Controller Gains Shape Robot Policy Learning
Antonia Bronars, Younghyo Park, Pulkit Agrawal
Position controllers have become the dominant interface for executing learned manipulation policies. Yet a critical design decision remains understudied: how should we choose contr…
Autonomous Robotic Assembly: From Part Singulation to Precise Assembly
Kei Ota, Devesh K. Jha, Siddarth Jain +5
Imagine a robot that can assemble a functional product from the individual parts presented in any configuration to the robot. Designing such a robotic system is a complex problem w…
TEXterity -- Tactile Extrinsic deXterity: Simultaneous Tactile Estimation and Control for Extrinsic Dexterity
Sangwoon Kim, Antonia Bronars, Parag Patre +1
We introduce a novel approach that combines tactile estimation and control for in-hand object manipulation. By integrating measurements from robot kinematics and an image-based tac…
TEXterity: Tactile Extrinsic deXterity
Antonia Bronars, Sangwoon Kim, Parag Patre +1
We introduce a novel approach that combines tactile estimation and control for in-hand object manipulation. By integrating measurements from robot kinematics and an image-based tac…
simPLE: a visuotactile method learned in simulation to precisely pick, localize, regrasp, and place objects
Maria Bauza, Antonia Bronars, Yifan Hou +3
Existing robotic systems have a clear tension between generality and precision. Deployed solutions for robotic manipulation tend to fall into the paradigm of one robot solving a si…
Tac2Pose: Tactile Object Pose Estimation from the First Touch
Maria Bauza, Antonia Bronars, Alberto Rodriguez
In this paper, we present Tac2Pose, an object-specific approach to tactile pose estimation from the first touch for known objects. Given the object geometry, we learn a tailored pe…
Inclined Surface Locomotion Strategies for Spherical Tensegrity Robots
Lee-Huang Chen, Brian Cera, Edward L. Zhu +8
This paper presents a new teleoperated spherical tensegrity robot capable of performing locomotion on steep inclined surfaces. With a novel control scheme centered around the simul…