19 citations · 50 across the 23 of their papers we have counts for
5 papers · 1 filter
A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning
Shijie Gao, Nicola Bezzo
This paper presents a novel method for transferring motion planning and control policies between a teacher and a learner robot. With this work, we propose to reduce the sim-to-real…
Interpretable Run-Time Prediction and Planning in Co-Robotic Environments
Rahul Peddi, Nicola Bezzo
Mobile robots are traditionally developed to be reactive and avoid collisions with surrounding humans, often moving in unnatural ways without following social protocols, forcing pe…
Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations
Paul J Bonczek, Nicola Bezzo
A resilient multi-vehicle system cooperatively performs tasks by exchanging information, detecting, and removing cyber attacks that have the intent of hijacking or diminishing perf…
Detection of Hidden Attacks on Cyber-Physical Systems from Serial Magnitude and Sign Randomness Inconsistencies
Paul J Bonczek, Nicola Bezzo
Stealthy false data injection attacks on cyber-physical systems (CPSs) introduce erroneous measurement information to on-board sensors with the purpose to degrade system performanc…
A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions
Esen Yel, Nicola Bezzo
Due to changes in model dynamics or unexpected disturbances, an autonomous robotic system may experience unforeseen challenges during real-world operations which may affect its saf…