UR 2026 is pleased to host the following workshops. Please check back for updates on workshop dates, times, and locations.
Workshop #1: Cloud and Edge Robotics for Adaptive and Scalable Robot Applications
Organizers: Kyunghoon Hur (Korea Electronics Technology Institute, KETI); Hyunwoo Kim (Korea Electronics Technology Institute, KETI); Youngjae Kim (LG Electronics); Sewan Gu* (LG Electronics)
Abstract: The proposed workshop aims to serve as an engaging platform for leading researchers and practitioners to discuss the latest advancements in cloud and edge robotics. It will delve into the cutting-edge methodologies of distributed training and inferencing, which are critical for enhancing robot intelligence. Additionally, the workshop will explore innovative strategies for the smart offloading of cognitive processes in robotics, addressing the complexities and computational demands of current robotic systems. The objectives include creating a vibrant community by inviting active researchers to share their insights, fostering collaborative learning and idea exchange. The program will feature talks from invited speakers who are at the forefront of these fields, along with a poster session to showcase emerging research, providing attendees with a comprehensive view of the current trends and future directions in cloud and edge robotics.
Keywords: Multi-Robot Systems; Robotic Systems Architectures and Programming; Physical and Cognitive Human-Robot Interaction
Workshop #2: Toward Smart Farming 4.0 and Digital Farming: Challenges and Opportunities in Agricultural Robotics
Workshop website: https://chungpark.github.io/SmartFarmingWorkshop_UR2026/
Organizers: Yonghyun Kim* (George Washington University); Chung Hyuk Park (George Washington University)
Abstract: Agriculture is rapidly transitioning toward Smart Farming 4.0 and digital farming, where robotics is expected to contribute not only to the automation of individual tasks but also to broader connected, data-driven, and adaptive production systems. Advances in sensing, autonomous systems, artificial intelligence, and digital infrastructure have expanded robotic applications in harvesting, crop care, field monitoring, and decision support. Yet deployment in agriculture remains substantially harder than in structured industrial settings because robots must operate under changing illumination, weather, crop growth stages, plant morphology, terrain variation, occlusion, and other sources of environmental uncertainty. This workshop proposes a focused venue at UR 2026 to discuss the technical, translational, and systems-level challenges that must be addressed to make agricultural robotics dependable and scalable in real production environments. The workshop will cover both task-level robotic problems and system-level digital farming questions, including perception and manipulation, worker-assist and collaborative robots, autonomous field and greenhouse operations, digital twins, long-term monitoring, and predictive farm decision support.
Keywords: Manipulation Planning and Control; Industrial Robots; Force and Tactile Sensing