Ashok M. Sundaram
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Institute of Robotics
Papers
10
Total Citations
120
H-Index
5
About
Ashok M. Sundaram is a leading researcher in robotic manipulation, with a focus on autonomous grasping, pick-and-place systems, and benchmarking for industrial and assistive robotics. His major contributions include the development of the Bin-Picking Benchmark (41 citations) and the Cluttered Environment Picking Benchmark (CEPB), which provide standardized evaluation frameworks for robotic pick-and-place and warehouse automation, addressing critical issues of comparability and reproducibility in the field. Sundaram has also advanced multimodal grasp planning for hybrid grippers in cluttered scenes (31 citations), enabling more versatile and reliable manipulation. His work extends to underactuated robotic hands, where he has proposed novel grasp quality evaluation methods (12 citations), and to surgical robotics, with task-specific robot base pose optimization (6 citations). Notable achievements include the design of TINA, a modular torque-controlled robotic arm for Mars Sample Return missions, and research on autonomous bipedal humanoid grasping with whole-body control. With over 120 total citations, Sundaram’s research is pivotal in bridging the gap between laboratory studies and real-world applications, from warehouse automation to space exploration and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multimodal Grasp Planner for Hybrid Grippers in Cluttered Scenes31 citations · 2023
- 3
- 4Grasp quality evaluation in underactuated robotic hands12 citations · 2016
- 5Task-specific robot base pose optimization for robot-assisted surgeries6 citations · 2022
- 6
- 7Task-Oriented Stiffness Setting for a Variable Stiffness Hand4 citations · 2023
- 8
- 9Unknown Object Grasping for Assistive Robotics3 citations · 2024
- 10