← Search

Luca Paparusso

2 accepted papers

2024

ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics

ICRA 2024poster

The past few years have seen immense progress on two fronts that are critical to safe, widespread mobile robot deployment: predicting uncertain motion of multiple agents, and planning robot motion under uncertainty. However, the numerical methods required on each front have resulted in a mismatch of…

Cited by 2SourceScholar
2020

A Disturbance-Aware Trajectory Planning Scheme Based on Model Predictive Control

RA-L 2020

Despite the development of numerous trajectory planners based on computationally fast algorithms targeting accurate motion of robots, the nowadays robotic applications requiring compliance for interaction with environment demand more comprehensive schemes to cope with unforeseen situations. This let

Cited by 7SourceScholar