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20182020
most citedHardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning

9 citations · 12 across the 5 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cs.RO2018★ 2 cited

Proprioception-Based Grasping for Unknown Objects Using a Series-Elastic-Actuated Gripper

Tianjian Chen, Matei Ciocarlie

Grasping unknown objects has been an active research topic for decades. Approaches range from using various sensors (e.g. vision, tactile) to gain information about the object, to…

cs.RO2018

Underactuated Hand Design Using Mechanically Realizable Manifolds

Tianjian Chen, Maximilian Haas-Heger, Matei Ciocarlie

Hand synergies, or joint coordination patterns, have become an effective tool for achieving versatile robotic grasping with simple hands or planning algorithms. Here we propose a m…