Massimo Cefalo

About

Massimo Cefalo is a robotics researcher whose work sits at the intersection of motion planning, redundant robotic systems, and autonomous navigation. His scholarship is primarily focused on developing algorithms that enable robots to perform complex, collision-free movements while satisfying geometric task constraints — a particularly challenging problem when obstacles are dynamic or environments are unpredictable. Cefalo's most significant contributions center on task-constrained motion planning, where he has pioneered control-based randomized planners capable of generating repeatable cyclic motions for redundant manipulators. His most-cited work, "Repeatable Motion Planning for Redundant Robots Over Cyclic Tasks" (2017, 33 citations), addresses a longstanding open problem in robotics by ensuring closed, collision-free configuration-space paths. Complementary studies extended these methods to moving obstacles, underactuated systems, and dynamically feasible scenarios, collectively accumulating over 180 citations across his portfolio. Notably, Cefalo has embraced real-time implementation challenges, leveraging GPU-based parallel computation and Model Predictive Control to make his planners practically deployable. His 2006 energy-based control work on the "butterfly robot" demonstrates an early interest in nonlinear control design. Together, his body of work meaningfully advances safe, intelligent robot autonomy in complex, real-world environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Repeatable Motion Planning for Redundant Robots Over Cyclic Tasks

   33 citations · 2017
2. 2
   Task-constrained motion planning with moving obstacles

   27 citations · 2013
3. 3
   ENERGY-BASED CONTROL OF THE BUTTERFLY ROBOT

   22 citations · 2006
4. 4
   Planning safe cyclic motions under repetitive task constraints

   19 citations · 2013
5. 5
   Sensor-Based Task-Constrained Motion Planning using Model Predictive Control

   17 citations · 2018
6. 6
   A general framework for task-constrained motion planning with moving obstacles

   16 citations · 2018
7. 7
   Parallel collision check for sensor based real-time motion planning

   15 citations · 2017
8. 8
   Task-constrained motion planning for underactuated robots

   12 citations · 2015
9. 9
   Dynamically feasible task-constrained motion planning with moving obstacles

   11 citations · 2014
10. 10
    An Opportunistic Strategy for Motion Planning in the Presence of Soft Task Constraints

    10 citations · 2020

Key Collaborators

Contact & Links