Eric Huang

About

Eric Huang is a leading roboticist whose research lies at the intersection of dexterous manipulation, motion planning, and autonomous systems. His work fundamentally advances how robots physically interact with and rearrange their environments. Huang’s major contributions include developing the general-purpose teleoperation system for the DRC-HUBO humanoid robot, a key platform for the DARPA Robotics Challenge that enabled complex tasks like debris clearing and door opening (77 citations). He has also pioneered large-scale multi-object rearrangement, demonstrating systems capable of handling up to 100 densely packed blocks with high packing factors (70 citations). Perhaps most notably, Huang introduced Contact Mode Guided Manipulation Planning (CMGMP), a novel algorithm that generates hybrid motion plans for 3D quasidynamic dexterous manipulation by seamlessly integrating continuous state transitions with discrete contact mode switches (34 citations). His work on exact bounds for contact-driven motion of sliding objects has further provided foundational theory for robotic pushing and pulling. Through these contributions, Huang is shaping the future of robots that can manipulate objects with human-like dexterity and efficiency.

Research Focus

Key Achievements

Top Papers

1. 1
   A General‐purpose System for Teleoperation of the DRC‐HUBO Humanoid Robot

   77 citations · 2015
2. 2
   Large-Scale Multi-Object Rearrangement

   70 citations · 2019
3. 3
   Contact Mode Guided Motion Planning for Quasidynamic Dexterous Manipulation in 3D

   34 citations · 2022
4. 4
   Efficient Contact Mode Enumeration in 3D

   16 citations · 2021
5. 5
   Exact Bounds on the Contact Driven Motion of a Sliding Object, With Applications to Robotic Pulling

   8 citations · 2017
6. 6
   Contact Mode Guided Motion Planning for Dexterous Manipulation.

   3 citations · 2021

Key Collaborators

Contact & Links