activity
20172021
most citedRobotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching

47 citations · 102 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2021★ 1 cited

Reduced Dynamics and Control for an Autonomous Bicycle

Jiaming Xiong, Bo Li, Ruihan Yu +3

In this paper, we propose the reduced model for the full dynamics of a bicycle and analyze its nonlinear behavior under a proportional control law for steering. Based on the Gibbs-…

cs.RO2021★ 6 cited

Extrinsic Contact Sensing with Relative-Motion Tracking from Distributed Tactile Measurements

Daolin Ma, Siyuan Dong, Alberto Rodriguez

This paper addresses the localization of contacts of an unknown grasped rigid object with its environment, i.e., extrinsic to the robot. We explore the key role that distributed ta…

cs.RO2019★ 2 cited

6DLS: Modeling Nonplanar Frictional Surface Contacts for Grasping using 6D Limit Surfaces

Jingyi Xu, Tamay Aykut, Daolin Ma +1

Robot grasping with deformable gripper jaws results in nonplanar surface contacts if the jaws deform to the nonplanar local geometry of an object. The frictional force and torque t…

cs.RO2018★ 11 cited

Maintaining Grasps within Slipping Bound by Monitoring Incipient Slip

Siyuan Dong, Daolin Ma, Elliott Donlon +1

In this paper, we propose an approach to detect incipient slip, i.e. predict slip, by using a high-resolution vision-based tactile sensor, GelSlim. The sensor dynamically captures…

cs.RO2018★ 19 cited

Dense Tactile Force Distribution Estimation using GelSlim and inverse FEM

Daolin Ma, Elliott Donlon, Siyuan Dong +1

In this paper, we present a new version of tactile sensor GelSlim 2.0 with the capability to estimate the contact force distribution in real time. The sensor is vision-based and us…

cs.RO2018★ 16 cited

Friction Variability in Planar Pushing Data: Anisotropic Friction and Data-collection Bias

Daolin Ma, Alberto Rodriguez

Friction plays a key role in manipulating objects. Most of what we do with our hands, and most of what robots do with their grippers, is based on the ability to control frictional…