Papers

7

Total Citations

151

H-Index

5

About

Hung Hon Cheng is a pioneering robotics researcher whose work sits at the intersection of construction automation, cable-driven parallel robots (CDPRs), and bioinspired soft-rigid systems. His most impactful contribution is the CU-brick cable-driven robot, a system that enables automated construction of complex brick structures—a breakthrough that has garnered 55 citations and demonstrated a seamless transition from simulation to hardware. Cheng has fundamentally advanced CDPR theory by developing novel methods for cable attachment optimization and workspace verification, including a ray-based approach for ensuring wrench-closure and interference-free conditions during curved trajectories (28 citations). His recent work on reconfigurable CDPRs (31 citations) addresses the critical challenge of adapting cable configurations to varying workspace conditions, while his 2025 research on lattice structure musculoskeletal robots (20 citations) introduces programmable geometric topology to create bioinspired soft-rigid systems. Cheng’s innovations extend to agricultural robotics with CAFEs, a collaborative floating end-effector system, and to imitation learning for manipulation tasks. With over 150 total citations across his portfolio, Cheng is recognized for bridging theoretical robotics with practical, real-world applications—from construction sites to farms—making him a leading figure in the next generation of adaptive, reconfigurable robotic systems.

Research Focus

Key Achievements

5
H-Index
7
Papers
151
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
CU-brick cable-driven robot for automated construction of complex brick structures: From simulation to hardware realisation
55 citations · 2018
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Chinese University of Hong Kong, École Polytechnique Fédérale de Lausanne, CREATe Centre

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago