Gerold Huber

About

Gerold Huber is a robotics researcher whose work sits at the intersection of human-robot collaboration (HRC), motion planning, and robot control. His research addresses some of the most pressing challenges in deploying robots alongside humans in real-world industrial environments, spanning adaptive decision-making, safety-aware motion planning, and dexterous manipulation. Huber's most influential contribution, a game-theoretic framework for adaptive action selection in close-proximity HRC (2017, 39 citations), introduced a principled approach for enabling robots to dynamically adjust their behavior in response to human actions — a significant departure from rigid, pre-programmed industrial systems. Complementing this, his work on integrating human motion prediction into local obstacle avoidance (2015, 21 citations) advances collaborative safety by anticipating human movement rather than merely reacting to it. Beyond human-robot interaction, Huber has made notable technical contributions in trajectory generation on SE(3), redundancy resolution for 7-DOF serial robots, closed-form manipulability computation, and force-sensitive grasping under uncertainty. Together, these works reflect a coherent research vision: building robots that are simultaneously safe, agile, and adaptive. His body of work offers valuable insights for students and researchers working on next-generation collaborative robotics systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A game-theoretic approach for adaptive action selection in close proximity human-robot-collaboration

   39 citations · 2017
2. 2
   An approach to integrate human motion prediction into local obstacle avoidance in close human-robot collaboration

   21 citations · 2015
3. 3
   A Force-Sensitive Grasping Controller Using Tactile Gripper Fingers and an Industrial Position-Controlled Robot

   9 citations · 2022
4. 4
   Efficient Closed-Form Task Space Manipulability for a 7-DOF Serial Robot

   9 citations · 2019
5. 5
   Hybrid Human Motion Prediction for Action Selection Within Human-Robot Collaboration

   8 citations · 2017
6. 6
   An Online Trajectory Generator on SE(3) for Human–Robot Collaboration

   7 citations · 2019
7. 7
   Globally Optimal Online Redundancy Resolution for Serial 7-DOF Kinematics Along SE(3) Trajectories

   4 citations · 2021
8. 8
   An online trajectory generator on SE(3) with magnitude constraints

   2 citations · 2017

Key Collaborators

Contact & Links