activity
20172026
most citedDex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

277 citations · 726 across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.RO2020

Visual Identification of Articulated Object Parts

Vicky Zeng, Tabitha Edith Lee, Jacky Liang +1

As autonomous robots interact and navigate around real-world environments such as homes, it is useful to reliably identify and manipulate articulated objects, such as doors and cab…

cs.RO2020★ 2 cited

Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation

Mohit Sharma, Jacky Liang, Jialiang Zhao +2

Manipulation tasks can often be decomposed into multiple subtasks performed in parallel, e.g., sliding an object to a goal pose while maintaining contact with a table. Individual s…

cs.RO2020★ 25 cited

A Modular Robotic Arm Control Stack for Research: Franka-Interface and FrankaPy

Kevin Zhang, Mohit Sharma, Jacky Liang +1

We designed a modular robotic control stack that provides a customizable and accessible interface to the Franka Emika Panda Research robot. This framework abstracts high-level robo…

cs.RO2020★ 1 cited

Contact Localization for Robot Arms in Motion without Torque Sensing

Jacky Liang, Oliver Kroemer

Detecting and localizing contacts is essential for robot manipulators to perform contact-rich tasks in unstructured environments. While robot skins can localize contacts on the sur…

cs.RO2020★ 4 cited

Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap

Jacky Liang, Saumya Saxena, Oliver Kroemer

Training robotic policies in simulation suffers from the sim-to-real gap, as simulated dynamics can be different from real-world dynamics. Past works tackled this problem through d…

cs.RO2020★ 5 cited

In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation

Jacky Liang, Ankur Handa, Karl Van Wyk +3

Tracking the pose of an object while it is being held and manipulated by a robot hand is difficult for vision-based methods due to significant occlusions. Prior works have explored…