Organizers: Jinoh Lee, Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Germany; Baek-Kyu Cho, Kookmin University, Korea; George Mesesan, Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Germany

Objectives: The use of quadruped robots in natural/human disasters, especially fire disasters, is a topic of increasing interest in the field of robotics. These robots, with their ability to navigate complex terrain and perform search and rescue missions while withstanding high temperatures, can play a critical role in fire disaster response. The main objective of this workshop is to explore the potential of quadruped robots in fire disasters, to present the current state of the art, and to discuss the challenges and solutions associated with real-world applications.

Topics of interest
• Mechanical design, motion planning and controls for legged robots
• Data-driven approaches / pipelines used for robot design
• Software infrastructure / architecture facilitating the design of new robots
• Sensors and Perception for fire disaster environments
• Co-Design / parallel engineering of mechatronics and controls
• Reliable communication systems for teleoperation of the robots
• Design considerations for durability and resilience in harsh fire disaster conditions
• Real-world case studies, discussing the successes, failures, and lessons learned.

Program and invited speakers: TBD

Intended audience
This workshop is intended for researchers, engineers, and practitioners in the field of robotics, as well as professionals in disaster management and response, particularly those involved in fire disaster response.

Organizers: Minsu Jang, Electronics and Telecommunications Research Institute, Korea; Youngjae Kim, LG Electronics, Korea
Objective: The proposed 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.

Candidates for the invited speakers include:
• Ajay Tanwani,, Bosch, USA
• Jeffrey Ichnowski,, Assistant Professor, CMU, USA
• Ken Goldberg,, Professor, UC Berkeley, USA
• Youngjae Kim,, Assistant Manager, LG Electronics, Korea
• Victor Kathan Sarker,, Researcher, University of Turku, Finland

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

Intended audience
Researchers and developers in academia and industry who are specialized or have a keen interest in cloud
robotics, robot intelligence and distributed computing systems.

Organizer: Goobong Chung, Korea Institute of Robotics & Technology Convergence, Korea

Objectives: Through the UR 2024 Workshop, we aim to emphasize the significant research accomplishments by our institution, both domestically and internationally, fostering opportunities for knowledge exchange and collaboration. This workshop goes beyond a mere presentation of outcomes; it encompasses our ambitious goal of globally positioning our institution, promoting innovative robotics technology applications across various industries, and driving sustained advancement. Simultaneously, through sharing research outcomes applying a prototype robot in the fieldwork environment, we seek to disseminate our developed robotic technologies tailored for various industrial sectors and explore opportunities for discussions aimed at advancing relevant technological innovations
The networking and discussions with audience at the workshop will not be limited to mere exchange of opinions; rather, they will serve as a stage for engaging discussions, sharing intriguing insights, and fostering strategic collaborations within the field of robotics technology. Through these interactions, participants will have the opportunity to embrace diverse perspectives on technological innovation, share knowledge, and collectively contribute to mutual growth.

Topics of interest
• (Repair) Mobile manipulation robot for sealing process to prevent gas leakage
• (Exploration) Extreme Environment Exploration Robot
• (Tracking) A person tracking algorithm based on a LiDAR
• (Underwater) Magnetic Feet for Submersible Walking Robot
• (Manipulator) Methods for Constructing DH parameters for manipulators
• (Swarm) Swarm Intelligence for robotics

Intended audience
The primary audience for this workshop comprises professionals, researchers, scholars, and industry experts actively engaged in fields such as robotics engineering, artificial intelligence, and automation.
Our targeted participants possess diverse experiences and interests within their respective domains. The workshop aims to deliver insights into current trends and recent research findings in robotics technology, providing an opportunity for exploration of potential practical applications in industry. We anticipate engaging professionals who are keen on knowledge exchange and collaboration between academia and industry, contributing to innovative solutions for real-world challenges.
The workshop serves as a valuable resource for professionals seeking to stay informed about the latest trends and advancements in robotics technology. For industry practitioners interested in the practical applications of robotics technology, the workshop offers a chance to discover innovative technologies and solutions, enhancing their potential for real-world implementation.

Organizer: Dong Yoon Lee, KITECH (Korea Institute of Industrial Technology), Korea

Objectives: The workshop aims to provide a platform for presentations on the research progresses in Robotics and Equipment Automation in Manufacturing industries. It will also aim to facilitate discussion and exchange research output, which strengthens the cooperation between researchers working on the area of Robotics and the related industries

Topics of interest
• Robotics in Manufacturing Industry
• Equipment Automation in Manufacturing Industry
• Digital Transformation in Manufacturing Equipment
• Advanced Industrial Robotics
• Consulting for Industrial Robotics

Intended audience
This Workshop is designed as a open session. Our intended audience is professors and researchers of Robot and Equipment Automation Application Technology for Improving Process of Manufacturing Industry research projects.

Organizer: Xie Zhen, Agency for Science, Technology and Research, Singapore

Objectives: Automatic robotic toolpath generation (ARTG) systems are a class of robotic systems aimed at generating customized patterns of robotic trajectories and toolpath to automate several industrial contact processes such as polishing and masking, or non-contact processes, such as painting and blasting. ARTG systems are especially valuable in automating industrial processes that require high precision, repetitive, or labor-intensive. ARTG systems face challenges when CAD data for the manufacturing object/workpiece is either not available or inaccurate. Automated robotic toolpath generation plays a crucial role in enhancing the efficiency and precision of robotic systems across various domains such as manufacturing, healthcare, and logistics. This workshop/tutorial proposal aims to provide a comprehensive overview of the latest techniques, algorithms, and applications in automated robotic toolpath generation. The workshop will include software demonstrations and case studies to demonstrate the practical implementation and benefits of automated toolpath generation in real-world scenarios.

Topics of interest
Provide a list of topics (keywords) addressed in the workshop/tutorial
• Introduction to Robotic Toolpath Generation
• Path Planning Algorithms for Robotic Systems
• Optimization Techniques for Toolpath Efficiency
• Sensor-Based Adaptive Toolpath Planning
• Machine Learning Approaches for Toolpath Optimization
• Case Studies and Applications in Manufacturing, Healthcare, and Logistics
• Software Demonstration: Software Tools for Automated Toolpath Generation and Simulation

Intended audience
This workshop/tutorial is designed for researchers, practitioners, and students interested in robotics, automation, and manufacturing. Participants should have a basic understanding of robotics concepts and programming.
• Gain insights into state-of-the-art techniques for automated robotic toolpath generation.
• Learn from experienced speakers and industry professionals.
• Hands-on experience with software tools for toolpath planning and simulation.
• Networking opportunities with peers and experts in the field.
• Access to workshop materials and resources for continued learning.

Organizers: Ki-Uk Kyung, KAIST, Korea; Giuseppe Loianno, New York University, USA

Objectives: The primary objective of this workshop is to foster collaboration and exchange of innovative ideas between young researchers from KAIST and New York University. By focusing on the most recent research activities in the fields of Robotics and Artificial Intelligence, this workshop aims to bridge the knowledge gap and encourage interdisciplinary discussions. The collaboration between the two institutions, having grown significantly in recent times, provides an excellent foundation for sharing technological advancements, exploring new research methodologies, and developing solutions for future challenges in robotics and AI. This gathering is dedicated to nurturing a supportive community where emerging scientists can showcase their work, receive constructive feedback, and build professional networks that transcend geographical boundaries.

Topics of interest
• Robot Design and Intelligent Control
• Wearable Robot, Rehabilitation Robot
• Teleoperation and Haptic Interaction
• Smart Sensors and Actuators
• Aerial Robot and Intelligent Control
• Walking Robots, Humanoid Robots
• Artificial Intelligence of Robots
• Soft Robotics

Intended audience
The intended audience for this workshop encompasses a broad range of individuals and groups beyond just the KAIST and NYU communities. It includes, but is not limited to, graduate students, postdoctoral researchers, and faculty members from various academic institutions worldwide who are interested in the latest developments in robotics and artificial intelligence. Industry professionals and engineers working in related fields, who seek to understand the current research trends and explore future technological solutions, are also encouraged to attend. Additionally, policymakers, educational leaders, and enthusiasts in science and technology who wish to engage with cutting-edge research and foster collaborative networks are part of the target audience. This workshop aims to create a diverse and dynamic environment conducive to learning, discussion, and the advancement of robotics and AI.

Organizers: Chung Hyuk Park, George Washington University, USA; Ki-Uk Kyung, KAIST, Korea; Jee-Hwan Ryu, KAIST, Korea; Hyun Soo Woo, Korea Planning and Evaluation Institute of Industrial Technology, Korea

Objectives: The objective of this workshop is to facilitate the exchange of the latest research findings and innovative developments in the field of robotics by globally recognized Korean researchers working in other countries. The workshop aims to highlight significant advancements and contributions, fostering a deeper understanding and appreciation among the wider international community. A secondary, yet equally important goal, is to explore and discuss the potential for future international collaborations between Korea and various foreign countries in the field of robotics. This includes identifying mutual interests, aligning strategic goals, and laying out a roadmap for cooperative projects and joint research initiatives. The workshop is dedicated to creating a platform for dialogue, networking, and partnership building, with the ultimate aim of advancing the field of robotics through strengthened international ties and shared knowledge.

Topics of interest
• Technologies in Robot Design and Control
• Innovations in Robotics Research
• Artificial Intelligence in Future Robots
• International Collaboration for Robotics Research

Intended audience
The intended audience for this workshop includes a wide range of individuals who are actively involved or deeply interested in the fields of robotics and international research collaboration. This encompasses: Academic Researchers and Educators, Industry Professionals, Policy Makers and Government Representatives, Innovation Managers and Entrepreneurs, Korean Researchers Working Abroad, and International Collaborators and Partners.
Please note that in order to ensure a well-organized and effective workshop, advanced registration is required for all participants. This will facilitate better networking opportunities, ensure access to workshop materials, and help maintain an environment conducive to focused discussions and interactions. Potential attendees are encouraged to register as early as possible to secure their participation. Please email the organizers for registration details.