Philip Long

About

Philip Long is a robotics researcher whose work spans cable-driven parallel robots, human-robot collaboration, and advanced motion planning. He is perhaps best known for his foundational contributions to mobile cable-driven parallel robots (CDPRs), a class of highly reconfigurable systems capable of operating across expansive workspaces at high speeds. His papers on wrench-feasible workspaces, tension distribution algorithms, and trajectory optimization for mobile CDPRs—collectively accumulating nearly 200 citations—have helped establish the theoretical and practical frameworks guiding this emerging field. His FASTKIT project demonstrated real-world logistics applications of these systems, bridging theory and industrial deployment. Beyond cable robotics, Long has made meaningful contributions to human-robot coexistence, developing industrial security systems that enable robots to operate safely alongside humans without sacrificing speed—a critical challenge in modern manufacturing, reflected in over 64 citations. His work on force/vision control for robotic cutting of soft materials and dynamic modeling of flexible parallel robots further demonstrates his breadth across sensing, control, and mechanical modeling. His research on velocity polytope reduction for evaluating robot manipulability in constrained environments highlights a continued commitment to practical performance metrics. With a growing citation record across diverse robotics domains, Long represents a versatile and impactful voice in contemporary robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Wrench-Feasible Workspace of Mobile Cable-Driven Parallel Robots

   69 citations · 2019
2. 2
   An industrial security system for human-robot coexistence

   64 citations · 2017
3. 3
   FASTKIT: A Mobile Cable-Driven Parallel Robot for Logistics

   49 citations · 2019
4. 4
   Tension Distribution Algorithm for Planar Mobile Cable-Driven Parallel Robots

   46 citations · 2017
5. 5
   Force/vision control for robotic cutting of soft materials

   35 citations · 2014
6. 6
   Optimization based Trajectory Planning of Mobile Cable-Driven Parallel Robots

   32 citations · 2019
7. 7
   Contact-Implicit Trajectory Optimization Based on a Variable Smooth Contact Model and Successive Convexification

   29 citations · 2019
8. 8
   Dynamic modeling of parallel robots with flexible platforms

   28 citations · 2014
9. 9
   Available Wrench Set for Planar Mobile Cable-Driven Parallel Robots

   21 citations · 2018
10. 10
    Evaluating Robot Manipulability in Constrained Environments by Velocity Polytope Reduction

    21 citations · 2018

Key Collaborators

Contact & Links