Robotic System
Robotic systems research focuses on developing robots capable of performing complex tasks autonomously and reliably in diverse environments. Current efforts concentrate on improving robot perception (e.g., vision-language models for failure detection and reasoning), control (e.g., adaptive control for joint failures and force-aware trajectory planning), and planning (e.g., behavior tree expansion with LLMs and probabilistic automata for task specification). These advancements are significant for various applications, including manufacturing, agriculture, healthcare, and domestic assistance, driving improvements in efficiency, safety, and human-robot collaboration.
Papers
FogROS2-SGC: A ROS2 Cloud Robotics Platform for Secure Global Connectivity
Kaiyuan Chen, Ryan Hoque, Karthik Dharmarajan, Edith LLontop, Simeon Adebola, Jeffrey Ichnowski, John Kubiatowicz, Ken Goldberg
SkiROS2: A skill-based Robot Control Platform for ROS
Matthias Mayr, Francesco Rovida, Volker Krueger
Safe Navigation using Density Functions
Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya
A Mixed-Integer Approach for Motion Planning of Nonholonomic Robots under Visible Light Communication Constraints
Angelo Caregnato-Neto, Marcos Ricardo Omena de Albuquerque Maximo, Rubens Junqueira Magalhães Afonso