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
Vision and Tactile Robotic System to Grasp Litter in Outdoor Environments
Ignacio de Loyola Páez-Ubieta, Julio Castaño-Amorós, Santiago T. Puente, Pablo Gil
The control architecture of a spherical robot for Minimally Invasive Surgery
Gabriela Rus, Nadim Al Hajjar, Paul Tucan, Ionut Zima, Calin Vaida, Corina Radu, Daniel Jucan, Damien Chablat, Doina Pisla
Improving Robotic Arms through Natural Language Processing, Computer Vision, and Edge Computing
Pascal Sikorski, Kaleb Yu, Lucy Billadeau, Flavio Esposito, Hadi AliAkbarpour, Madi Babaiasl
Coordinating robotized construction using advanced robotic simulation: The case of collaborative brick wall assembly
Mohammad Reza Kolani, Stavros Nousias, André Borrmann