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
Autonomous Sensor Exchange and Calibration for Cornstalk Nitrate Monitoring Robot
Janice Seungyeon Lee, Thomas Detlefsen, Shara Lawande, Saudamini Ghatge, Shrudhi Ramesh Shanthi, Sruthi Mukkamala, George Kantor, Oliver Kroemer
Remote Life Support Robot Interface System for Global Task Planning and Local Action Expansion Using Foundation Models
Yoshiki Obinata, Haoyu Jia, Kento Kawaharazuka, Naoaki Kanazawa, Kei Okada
Autonomous Robotic Pepper Harvesting: Imitation Learning in Unstructured Agricultural Environments
Chung Hee Kim, Abhisesh Silwal, George Kantor
Quality of Control based Resource Dimensioning for Collaborative Edge Robotics
Neelabhro Roy, Mani H. Dhullipalla, Gourav Prateek Sharma, Dimos V. Dimarogonas, James Gross
Automatic Contact-Based 3D Scanning Using Articulated Robotic Arm
Shadman Tajwar Shahid, Shah Md. Ahasan Siddique, Md. Humayun Kabir Bhuiyan