Joseph Sunyer

Papers

Total Citations

H-Index

About

Joseph Sunyer is a robotics researcher whose work has made meaningful contributions to the field of industrial robot motion planning, with a particular focus on trajectory optimization and path planning in complex environments. His most cited work, "Optimal time trajectories for industrial robots with torque, power, jerk and energy consumed constraints" (2012, 29 citations), addresses the challenging problem of generating minimum-time, collision-free trajectories while simultaneously satisfying multiple physical constraints — including torque, power, jerk, and energy consumption — a practically significant advance for real-world robotic deployment. Building on this, his 2010 paper (16 citations) introduced a simultaneous algorithm paired with optimized interpolation functions, enabling robots to plan trajectories dynamically as they move through their environment. His earlier 2009 contribution (12 citations) established a direct step-by-step path-planning method operating within the robot's state space, laying groundwork for his subsequent algorithmic refinements. Across these works, Sunyer demonstrates a consistent commitment to bridging theoretical optimization with practical industrial constraints, offering solutions that improve both efficiency and safety in robotic systems operating within cluttered, real-world settings.