4 papers · 1 filter
Implicit Coordination using Active Epistemic Inference for Multi-Robot Systems
Lauren Bramblett, Jonathan Reasoner, Nicola Bezzo
A Multi-robot system (MRS) provides significant advantages for intricate tasks such as environmental monitoring, underwater inspections, and space missions. However, addressing pot…
Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information
Matthew Cleaveland, Esen Yel, Yiannis Kantaros +2
This paper addresses a safe planning and control problem for mobile robots operating in communication- and sensor-limited dynamic environments. In this case the robots cannot sense…
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…