Max Robotics — Global Service Robot Directory + US Certification

About

Emanuele Sansebastiano is a robotics researcher whose work focuses on autonomous navigation, motion planning, and robotic manipulation in unstructured environments. He is best known for his contributions to the Amazon Robotics Challenge, where his team from the Robotic Intelligence Laboratory at Jaume I University developed innovative approaches to automate pick-and-place operations in warehouse settings—a paper that has garnered 8 citations and highlights his expertise in real-world robotic systems. Sansebastiano has also advanced the field of maritime robotics, creating a ROS-based simulation environment for obstacle avoidance that integrates the Timed Elastic Band planner, enabling safer autonomous navigation for marine vessels (4 citations). His theoretical work on configuration space analysis, published in 2021, explores the relationship between C-space, heuristic methods, and sampling-based planners, offering insights into collision-free motion planning for high-degree-of-freedom robots (3 citations). Through these contributions, Sansebastiano bridges practical robotics challenges with foundational planning theory, making his research valuable for both industry applications and academic study in autonomous systems.