Papers

3

Total Citations

21

H-Index

3

About

Ka Hei Mak is an emerging robotics researcher whose work centers on the challenging intersection of robotic manipulation, dexterous control, and dynamic object handling. Mak has made notable contributions to the field of **dexterous ungrasping** — the largely overlooked inverse problem of grasping — which involves securely transferring objects from a robotic gripper back into the environment without dropping or destabilizing them. His 2022 papers on planning for dexterous ungrasping and robust ungrasping of high aspect ratio objects (accumulating 9 and 7 citations respectively) represent some of the first systematic treatments of this problem, offering practical planning frameworks applicable to real-world robotic systems. Beyond ungrasping, Mak has extended his expertise into dynamic manipulation, evidenced by his 2023 work on high-speed scooping, which leverages stiffness control and direct-drive actuation to enable rapid pick-up of objects from flat surfaces — a task with meaningful implications for industrial automation and agile robotics. With a total citation footprint growing steadily across a compact but focused body of work, Ka Hei Mak is establishing himself as a creative thinker tackling underexplored manipulation challenges with both theoretical rigor and practical ingenuity.

Research Focus

Key Achievements

3
H-Index
3
Papers
21
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Planning for Dexterous Ungrasping: Secure Ungrasping Through Dexterous Manipulation
9 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Hong Kong University of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago