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Sangyoung Park is an Assistant Professor of Smart Mobility Systems at the Faculty of Mechanical Engineering and Transport Systems, Technical University of Berlin, and is co-affiliated with the Einstein Center for Digital Future. His research focuses on two main areas: enhancing vehicle safety through digitalization and connectivity, and advancing the electrification of the transport sector with emphasis on electric vehicle battery systems design and management. He leads the Chair of Smart Mobility Systems at TU Berlin, where his team investigates how vehicle connectivity can improve energy efficiency, traffic flow, and safety in autonomous vehicle systems. Dr. Park completed his PhD in Electrical Engineering and Computer Science at Seoul National University in Korea, where he focused on energy management techniques for hybrid energy storage systems in electric vehicles. Before joining TU Berlin in 2018, he conducted postdoctoral research at the Technical University of Munich, working on energy management for smartphones in collaboration with Google and studying battery aging processes. His research interests span smart mobility systems, electric vehicle battery management, energy consumption optimization, vehicle connectivity, and autonomous driving systems. Park's work bridges the gap between design engineers and software engineers, investigating how different energy storage components (fuel cells, supercapacitors, lithium-ion batteries) should be interconnected and managed together for maximum efficiency. His research also addresses the design of charging infrastructure for electric vehicles. Analysis of Dr. Park's recent publications reveals a strong focus on digital twin technology for teleoperated driving, battery management systems for electric vehicles, and vehicle connectivity for improved safety and efficiency. His research increasingly integrates cybersecurity aspects of connected vehicles and explores novel approaches to extend battery lifespan through advanced cell balancing techniques. The interdisciplinary nature of his work connects electrical engineering, computer science, transportation systems, and urban infrastructure planning. Dr. Park supervises multiple doctoral students, including Philipp Kremer, Ongun Türkçüoglu, Kil Young Lee, Maria Claudia Miguel de Priego, Muzaffer Citir, Andrea Reindl, Subhendu Bhadra, and Hueseyin Türkyilmaz. His research is supported by various funding sources including the ECDF grant, DAAD projects (ide3a), and government scholarships. He collaborates with institutions including OTH Regensburg and Siemens Mobility. His laboratory, the Smart Mobility Systems group, focuses on developing system-level approaches for measuring, analyzing, and balancing energy consumption in battery-powered mobile systems. The team investigates how direct communication among autonomous vehicles can enable control scenarios that improve energy efficiency, traffic flow, and safety beyond what human drivers or isolated autonomous vehicles can achieve.

• Smart Mobility Systems
• Electric Vehicle Battery Management
• Energy Consumption Optimization
• +3 more

Siwen Liu is a Scientific Staff member and Ph.D. candidate at the Chair of Media Technology (Lehrstuhl für Medientechnik) within the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM). She joined TUM in December 2021 after completing her Master's degree in China. Her research focuses on Digital Twin based MMT control schemes, multi-dimensional parameters-based performance optimization of human-in-the-loop haptic teleoperation systems, and resource scheduling in teleoperation networks. Her work intersects robotics, haptics, and computer vision with applications in teleoperation systems. Dr. Liu's recent publications demonstrate her expertise in developing advanced teleoperation frameworks that leverage Digital Twin technology to overcome time-delay challenges. Her research shows a clear progression from foundational teleoperation concepts to sophisticated hybrid control strategies that incorporate human perception metrics. She actively supervises student theses, including research on DT-based Human-robot Teleoperation with Haptic Codecs Standard, indicating her role in mentoring the next generation of robotics researchers. Her work aligns with major research initiatives at TUM including the Centre for Tactile Internet with Human-in-the-Loop (CeTI) and DFG: Teleoperation over 5G projects.

• Haptic Communication
• Teleoperation Systems
• Digital Twin Technology
• +3 more

Sangyoung Park is a Junior Professor at the Technical University of Berlin, holding the FGL Junior Professorship for Development of Digitalized Transport Technologies (Smart Mobility Systems). Based in the Main Building (Room H 4133) at Straße des 17. Juni 135, 10623 Berlin, Dr. Park leads research at the intersection of transportation engineering, electrical systems, and digital technologies to advance sustainable mobility solutions. Dr. Park's research focuses on several critical areas in modern transportation systems: Smart Mobility Systems and Digitalized Transport Technologies Electric Road Systems and Vehicle Electrification Battery Management Systems for Electric Vehicles Connected and Autonomous Vehicle Technologies Teleoperated Driving Systems with Network Delay Compensation Integration of Renewable Energy in Transportation Urban Infrastructure Interconnectivity and Resilience Analysis of Dr. Park's recent publications reveals a strong emphasis on solving practical challenges in sustainable transportation. The research demonstrates a systematic approach to integrating digital technologies with physical transport infrastructure, particularly focusing on electric vehicle systems, battery management, and vehicle-to-infrastructure communication. A notable trend is the development of digital twin technologies for teleoperated driving systems that can compensate for network delays, addressing a critical challenge in remote vehicle operation. The work also shows increasing attention to the integration of renewable energy sources with electric mobility solutions, particularly through photovoltaic integration on light electric vehicles. Dr. Park's research has practical applications across multiple domains of transportation engineering, from heavy-duty vehicle electrification to urban mobility solutions for light electric vehicles. The interdisciplinary nature of the work bridges electrical engineering, computer science, and transportation planning to develop holistic solutions for sustainable mobility.

• Smart Mobility Systems
• Electric Vehicles
• Connected and Autonomous Vehicles
• +5 more

Professor Jörg Ott holds the Chair for Connected Mobility at Technische Universität München (TUM) in the Faculty of Informatics since August 2015. He is also an Adjunct Professor at Aalto University, where he previously served as Professor for Networking Technology from 2005 through 2015. His academic career includes positions as Assistant Professor at Universität Bremen (1997-2005) and research staff with teaching responsibilities at TU Berlin (1992-1997). His research spans network architectures, protocol design, and networked systems , with current focus areas including network and system architectures, robust networking, mobile networked systems, adaptive real-time communication, and network measurements. He has made significant contributions to delay-tolerant networking, edge computing, and internet protocols. Professor Ott has served the networking community extensively, including as co-chair of IETF working groups (MMUSIC, SIP), co-chair of IRTF DTNRG, Treasurer of ACM SIGCOMM, Vice-chair of IEEE Comsoc TCCC, and General Co-Chair of major conferences including ACM SIGCOMM 2012, ACM MobiSys 2018, and ACM CoNEXT 2021. He is currently chair of the Steering Committee of the ACM CoNEXT conference and member of TUM Ethics Board for non-medical sciences. Best Paper Award at ACM ICN conference (2015) Best Student Paper Award at Packet Video Workshop (2012) Professor Ott has supervised numerous students and researchers, with current members of his research group including Wolfgang Wörndl, Ljubica Kärkkäinen, and Leonardo Tonetto. He has co-founded multiple technology companies including Tellique Kommunikationstechnik GmbH, Lysatiq GmbH, Spacetime Networks Oy, and NeMu Dialogue Systems Oy (callstats.io). His teaching portfolio includes courses on Connected Mobility Basics, Edge Computing and the Internet of Things, and Wireless Internet Communication.

• network architectures
• protocol design
• networked systems
• +7 more

M.Sc. Simon Armleder is a PhD candidate and lecturer at the Technical University of Munich (TUM), affiliated with the Chair of Cognitive Systems under Prof. Gordon Cheng. His research focuses on autonomous systems, robot dynamics, optimal/adaptive control, humanoid robotics, and bio-inspired robotics. He holds a Master's in electrical engineering and information technology from TUM, with prior work in optical receivers for satellite systems at Airbus Defence and Space. Education : Master of Science in Electrical Engineering and Information Technology (TUM) Dual study program in Electrical Engineering with Airbus Defence and Space Teaching : Lecturer for courses like "Multi-sensory Based Robot Dynamic Manipulation" and "Modelling and Control of Legged Robots" Supervised practical projects in robotics, including RoboCup@Home and Advanced RoboCup@Home Research Trends : His work emphasizes tactile-based manipulation, human-robot collaboration, and real-time adaptive control systems. Notable contributions include motion planning with diffusion models, tactile navigation in unstructured environments, and enhancing teleoperation agency through RNN-based visual guidance. Labs/Teams : Part of the Institute for Cognitive Systems (ICS), collaborating with researchers like Prof. Cheng, Dr. Emmanuel Dean-Leon, and teams developing humanoid robots and bio-inspired systems.

• Robotics Control
• Computer Vision
• Robot Learning
• +5 more

Lakshminarasimhan Srinivasan is a Lecturer at the Department of Computer Science, University of Würzburg, affiliated with the Chair of Computer Science XVII (Robotics). He holds degrees in Space Science and Technology from the University of Würzburg and Lulea University of Technology. Education : Double master's in Space Science and Technology, with a prior degree in Mechanical Engineering from Anna University (ranked 3rd out of 8,000 students). His research focuses on telematic control methods, teleoperation protocols, and time-delayed teleoperation systems. He contributes to robotics and telematics through project leadership and funding proposals at European, national, and Bavarian levels. Teaching activities include Robotics 1/2 exercises, course supervision for Tele-experiments with remote robots, Summer School Aerospace Technology, and preparatory mathematics courses for space engineering. He also oversees thesis supervision and IT services. Scientific Awards : Best paper award in Telematics Applications, Seoul Performance awards from Unterfranken and Bavaria Global and regional scholarships during master's studies In his role as IT Manager and Security Officer for the Faculty of Mathematics and Computer Science, he administers servers, networks, and laboratories such as the Control Laboratory and Remote Robotic Laboratories. Additional duties include webmaster responsibilities and volunteer first-aid services.

• Robotics
• Telematics
• Teleoperation
• +3 more

Rahul Chaudhari is a Senior Researcher at the Chair of Media Technology, Technical University of Munich (TUM), where he has been working since August 2019. He is affiliated with the Munich Institute of Robotics and Machine Intelligence (MIRMI) and contributes to research in human-computer interaction, particularly in human activity understanding. Dr. Chaudhari earned his doctoral degree (Summa cum Laude) in Communications and Signal Processing from TUM in 2015, following a Master's degree in Communications Engineering from TUM in 2009 and a Bachelor's degree in Electronics and Telecommunications from the University of Pune, India. His academic journey reflects a strong foundation in communications engineering and signal processing that has evolved into interdisciplinary research spanning haptics, computer vision, and artificial intelligence. His research focuses on Human Activity Understanding using Computer Vision, Sensor Fusion, and AI techniques. His current work centers on understanding Human-Object Interactions using camera data (RGB and Depth) recorded in indoor environments, with potential integration of wearable sensors or environmental sensors. His work has significant applications in improving human well-being, comfort, and convenience through intelligent environments and ambient assisted living systems. Dr. Chaudhari's publication record shows a clear evolution from foundational work in haptic communications to cutting-edge research in human-object interaction and 3D pose estimation. His recent publications demonstrate expertise across multiple domains including computer vision for activity recognition, synthetic data generation for training models, and neurosymbolic approaches to human-AI collaboration. This interdisciplinary approach reflects the increasingly connected nature of modern AI research. Best student paper award for Yujun Wang (2025) LMT Spin-off Wins Third Place at euRobotics Technology Transfer Award 2025 LMT featured in Süddeutsche Zeitung (2025) Diego Fernandez Prado selected as finalist for IEEE CASE Best Paper Award (2024) Dr. Chaudhari actively supervises student research, including Master's theses on advanced topics such as 'Simulation and Optimization for 6G Network Planning using Digital Twins.' His supervision work involves guiding students through complex technical challenges in simulation software evaluation, digital twin implementation, and network optimization. He also serves on thesis committees and provides mentorship to students working on related research topics. His research group operates within the broader context of TUM's initiatives in robotics and machine intelligence, contributing to projects like the Centre for Tactile Internet with Human-in-the-Loop (CeTI) and 5G Testbed Bayern. The group maintains a strong focus on both theoretical foundations and practical implementations, with research that bridges the gap between academic innovation and real-world applications in intelligent environments.

• Human Activity Understanding
• Computer Vision
• Sensor Fusion
• +6 more

Zican Wang is a Scientific Staff member and Ph.D. candidate at the Chair of Media Technology within the School of Computation, Information and Technology at Technical University of Munich (TUM). He joined TUM in 2021 after completing his M.Sc. in Mechanical Engineering from the Robotics Laboratory at Shanghai Jiao Tong University, where he had previously earned dual B.Sc. degrees in Mechanical Engineering and Computer Science. Wang's research focuses on haptic teleoperation systems, control algorithms, network communication, and related technologies including digital twins and perceptual signal quality assessment. His work specifically targets the optimization and assessment of control methods and quality of experience in teleoperation over time-delayed networks. He employs data processing, machine learning, robotics, and virtual reality as assistive tools for his primary research objectives. Wang's publications demonstrate expertise in haptic dataset augmentation, teleoperation control systems, and subjective experience prediction. His recent publications reveal a strong emphasis on practical applications of haptic technology in robotics, with particular attention to variable impedance control, human stiffness estimation, and GAN-based approaches for haptic data processing. Wang frequently collaborates with Professor Eckehard Steinbach and colleagues including Dong Yang, Xiao Xu, and Basak Gülecyüz on projects related to the Centre for Tactile Internet with Human-in-the-Loop (CeTI). IEEE Sensors Journal publication (2024) on haptic sensor-aided variable impedance control Multiple IROS and RO-MAN conference papers (2022-2023) on haptic dataset augmentation and teleoperation optimization Wang also supervises student research, including a project on GAN-based subjective haptic signal quality assessment database augmentation. His work contributes to TUM's research in haptic communication, video communication, and human activity understanding as part of broader projects including the Centre for Tactile Internet with Human-in-the-Loop (CeTI) and DFG-funded research on Teleoperation over 5G.

• Haptic Teleoperation
• Control Algorithms
• Network Communication
• +5 more

Rachael L'Orsa serves as a Research Scientist in the Haptic Intelligence Department at the Max Planck Institute for Intelligent Systems, where she advances robotic systems through human-centered interaction research. Her academic foundation includes: Bachelor of Applied Science in Mechanical Engineering, University of British Columbia (2010) Bachelor of Arts in French and Spanish with Computer Science minor, University of British Columbia (2011) Master of Science in Electrical Engineering, University of Calgary (2016) Doctor of Philosophy in Electrical Engineering, University of Calgary (2024) Dr. L'Orsa's research program centers on time-delayed teleoperation and haptic feedback systems , with critical applications in surgical robotics. Her doctoral work pioneered lightweight algorithms for automated puncture detection in needle-insertion surgery, while her Master's research employed neural networks to compensate for elastic joint flexibility in teleoperated robots. Current investigations integrate biological signal processing and cognitive workload assessment to develop adaptive human-robot interfaces that maintain performance under time constraints. Her work bridges mechanical design, algorithm development, and human factors analysis to create responsive surgical assistance systems. The Haptic Intelligence Department provides the infrastructure for developing next-generation tactile interaction technologies where precise force feedback and real-time operator-robot coordination are essential for medical applications.

• Human-Robot Interaction
• Haptic Feedback
• Time-Delayed Teleoperation
• +4 more