Juan-Pablo Afman

About

Juan-Pablo Afman is a roboticist whose work redefines how autonomous systems navigate challenging environments. His primary research focuses on collision-tolerant trajectory planning and the design of specialized aerial robots. Afman’s most significant contribution is a novel framework that treats collisions not as failures to avoid, but as planned interactions that can enable more effective navigation for robots capable of withstanding impact. By formulating this problem as a mixed integer programming (MIP) optimization, he demonstrated that computationally practical trajectories incorporating intentional collisions are achievable, opening new possibilities for robots operating in cluttered or hazardous spaces. His work on the design and optimization of an autonomous microgravity-enabling aerial robot is equally notable, detailing the development of a vehicle capable of providing at least four seconds of microgravity at an accuracy of 0.001 g’s—a tool built with input from both academia and industry. While his citation counts (7, 6, and 2) reflect an emerging career, the conceptual boldness of his collision-tolerant planning approach marks him as an innovative thinker in autonomous robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Robotic trajectory planning through collisional interaction

   7 citations · 2017
2. 2
   On the Design and Optimization of an Autonomous Microgravity Enabling\n Aerial Robot

   6 citations · 2016
3. 3
   A Framework for Collision-Tolerant Optimal Trajectory Planning of Autonomous Vehicles

   2 citations · 2016

Key Collaborators

Contact & Links