Papers

5

Total Citations

85

H-Index

4

About

Chantal Landry is a researcher specializing in robotic motion planning, optimal control, and industrial automation, with a particular focus on collision avoidance and path planning in complex manufacturing environments. Her most influential contribution, "Path Planning and Collision Avoidance for Robots" (2012), has garnered 56 citations and established a rigorous mathematical framework for computing optimal collision-free robot trajectories using linear programming arguments and sequential programming methods. This work elegantly reformulates collision avoidance as state constraints derived from Farkas's lemma, providing a computationally tractable approach to a challenging real-world problem. Landry has extended these theoretical foundations into demanding industrial contexts, notably the automotive sector, where her 2013 work on automotive path planning demonstrated the practical viability of her methods on production floors. Her research on robotic welding cells further broadened her scope to encompass task assignment, sequencing, and makespan minimization — addressing the full operational complexity of multi-robot workcells. Her 2017 work on automatic reconfiguration of welding cells reflects a continued commitment to adaptive industrial robotics. Across her body of work, Landry bridges advanced mathematical optimization with real-world engineering challenges, making her a notable contributor to intelligent manufacturing and industrial robotics research.

Research Focus

Key Achievements

4
H-Index
5
Papers
85
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Path planning and collision avoidance for robots
56 citations · 2012
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Weierstrass Institute for Applied Analysis and Stochastics, ZHAW Zurich University of Applied Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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