June 30, 2025, 2-5PM, Texas A&M Hotel and Conference Center
This workshop aims to serve as an engaging platform for leading researchers and practitioners to discuss the latest advancements in cloud and fog 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 fog robotics.
Workshop Organizers
Topics of Interest
- Cloud and fog robotics platforms
- Cloud robot intelligence
- Distributed learning and inferencing
- Smart offloading of robotic tasks
- Multi-robot collaboration via cloud and fog computing
- Latency and bandwidth control for cloud robots
- Large-scale multi-site multi-robot management systems
Program (Tentative)
| Time (PM) | Agenda | Presenter |
| 2:00-2:20 | Introduction, Cloud Robotics R&D at LG Electronics | Youngjae Kim, LG Electronics |
| 2:20-2:50 | The Role of Cloud and Fog Robotics in Advancing Multi-Robot Systems | Sanjaya Mallikarachchi, Texas A&M |
| 2:50-3:10 | Personalized Interaction with Socially Assistive Robots | Chung Hyuk Park, George Washington University |
| 3:10-3:30 | Quantitative Characterization of Human Joint Biomechanics and Its Applications | Seunghun Hwang, California State University at Northridge |
| 3:30-3:50 | Plug-and-Play Fog Robotics: Early Architectures for the Tactical Edge | Robert Blake Anderson, University of Texas at Austin |
| 3:50-4:10 | Networking Coffee Break | |
| 4:10-4:30 | Human-Embodied Drones: Advantages and Challenges | Dongbin Kim, University of Hartford |
| 4:30-4:50 | Coordinating multi-robot systems with various constraints using LLM-based approaches | Jungyun Bae, Michigan Technological University |
| 4:50-5:10 | The Recent Research Progress about Modular Truss Robot System | Andrew Bae, University of Nevada, Las Vegas |