Denis Laurendeau

Université Laval, Defence Research and Development Canada

Papers

18

Total Citations

233

H-Index

8

About

Denis Laurendeau is a prominent Canadian researcher whose work spans computer vision, 3D sensing, robotics, and cable-driven parallel robot systems. Based at Université Laval, he has made foundational contributions to how machines perceive and interact with three-dimensional environments, beginning with his early work on industrial 3D sensing in 1989 and continuing through the development of the TRID sensor — a fast, accurate rangefinder built on Biris technology for autonomous vehicle guidance and robotic manipulation. Laurendeau's most impactful contributions lie in cable-driven locomotion interfaces, particularly the design, control, and safety of haptic foot platforms. His 2009 paper on managing cable interferences in 6-DOF platforms (66 citations) remains his most widely recognized work, addressing a critical challenge in shared-workspace robotics. Complementary research on hybrid haptic control and human safety algorithms further established him as a leader in immersive locomotion simulation. More recently, his 2020 study demonstrated that cable-driven haptic feedback measurably improves human performance in virtual environments — a finding with meaningful implications for rehabilitation and ergonomic training. His additional contributions to autonomous robot mapping in urban environments and multisensor placement optimization highlight the breadth of a research career dedicated to bridging perception, robotics, and human-machine interaction.

Research Focus

Key Achievements

8
H-Index
18
Papers
233
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Determination and Management of Cable Interferences Between Two 6-DOF Foot Platforms in a Cable-Driven Locomotion Interface
66 citations · 2009
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Université Laval, Defence Research and Development Canada

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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