About

Jorge Angeles is a preeminent figure in robotic mechanical systems and computational kinematics, whose decades of scholarship at McGill University have fundamentally shaped how engineers analyze and design robotic manipulators. His landmark 1990 paper on singularity analysis of closed-loop kinematic chains, amassing over 1,700 citations, established a rigorous Jacobian-based classification framework that remains a cornerstone reference in robotics research. Building on this foundation, Angeles introduced the condition number of the Jacobian matrix as a global performance index for kinematic optimization, a contribution that has guided manipulator design across academia and industry, earning nearly 950 citations. His concept of kinematic isotropy — designing manipulators to achieve uniform force and velocity transmission — further refined the field's approach to optimal robot architecture. Angeles's influence extends powerfully into education through his textbook *Fundamentals of Robotic Mechanical Systems*, which across multiple editions has accumulated over 1,700 collective citations, cementing its status as an essential graduate-level resource. His earlier work on the Natural Orthogonal Complement for formulating dynamical equations of holonomic systems demonstrates his broad command of analytical mechanics. Cumulatively, his contributions have provided robotics researchers with both the theoretical language and practical tools necessary for principled manipulator design and analysis.

Research Focus

Key Achievements

41
H-Index
173
Papers
8,571
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Singularity analysis of closed-loop kinematic chains
1,719 citations · 1990
📈 Most Prolific Year: 2002 (13 Papers)
🤝 Key Collaborators: 152
🏛 Institutions: McGill University, Intelligent Machines (Sweden), Intelligent Mechatronic Systems (Canada), Intel (United States), McGill University Health Centre

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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