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
An Overview of Robotic Grippers
Mr Thomas J. Cairnes, Mr Christopher J. Ford, Dr Efi Psomopoulou, Professor Nathan Lepora
Current Safety Legislation of Food Processing Smart Robot Systems The Red Meat Sector
Kristof Takacs, Alex Mason, Luis Eduardo Cordova-Lopez, Marta Alexy, Peter Galambos, Tamas Haidegger