About

Quang-Cuong Pham is a robotics researcher whose work spans motion planning, robotic manipulation, multi-contact locomotion, and human-robot interaction. He has made foundational contributions to time-optimal path parameterization, developing numerical methods that enable robots — including redundantly actuated systems — to move along prescribed paths as efficiently as possible, work that underpins a wide range of real-world robotic applications. His research on contact stability for humanoid robots, including closed-form characterizations of the Contact Wrench Cone and generalized ZMP support areas under frictional constraints, has significantly advanced legged locomotion theory. Pham's work also pushes the boundaries of robotic manipulation: his landmark study on autonomous IKEA chair assembly (111 citations) dramatically illustrated both the promise and limits of modern robot dexterity, while his large-scale 3D printing project using coordinated mobile robots (404 citations) opened new frontiers in construction automation. His application of Siamese neural networks to sub-millimeter visual servoing reflects a growing integration of deep learning into precision robotics. With roots in computational neuroscience — including a contracting basal ganglia model for action selection — and thoughtful engagement with the societal impacts of automation, Pham brings an admirably broad perspective to robotics research.

Research Focus

Key Achievements

21
H-Index
56
Papers
1,806
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Large-scale 3D printing by a team of mobile robots
404 citations · 2018
📈 Most Prolific Year: 2018 (9 Papers)
🤝 Key Collaborators: 54
🏛 Institutions: Nanyang Technological University, École Normale Supérieure, Eureka College, Centre National de la Recherche Scientifique, The University of Tokyo

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago