Speakers
The 1st International Symposium on
Physical Artificial Intelligence and Robotics
Prof. Stanislav Gorb
Kiel University, Germany
Plenary
Prof. Mikhail Chamonine
Ostbayerische Technische Hochschule Regensburg, Germany
Plenary
Asst. Prof. Shunsuke Shigaki
National Institute of Informatics, Japan
Plenary
Assoc. Prof. Ronnapee Chaichaowarat
Chulalongkorn University, Thailand
Keynote
Dr. Elena Gorb
Kiel University, Germany
Plenary
Dr. Potiwat Ngamkajornwiwat
Panyapiwat Institute of Management, Thailand
Keynote
Dr. Nithima Nakthong
Office of the Basic Education Commission, Thailand
Keynote
Dr. Siwapon Charoenchai
Mahidol University, Thailand
Keynote
Mr. Pakpoom Kriengkomol
AI and Robotics Ventures, Thailand
Keynote
Prof. Stanislav Gorb
Kiel University, Germany
Plenary
Title:
Insect attachment systems used in locomotion: bioinspirations for surface science and robotics
Abstract:
Our research includes approaches of several disciplines: zoology, botany, structural biology, biomechanics, physics, and materials science. Using a wide variety of modern imaging techniques and experimental methods, we study mechanical systems and materials of insects. The research is mainly focused on the surfaces specialised for enhancement or reduction of frictional or adhesive forces. Such surfaces are composed of highly-specialised materials and bear surface structures optimised for a particular function. Some of these systems employ secretory substances, modulating forces in the contact area. Attachment systems of flies, beetles and bugs demonstrate interesting adhesion and friction properties and high reliability of contact. Experimental studies show that the effective elastic moduli of fiber arrays and spatula-like terminal elements in these systems are low, and this is of fundamental importance for enhancement of contact forces on rough substrata and for an increased tolerance to defects at the level of individual contacts. Based on the broad structural and experimental studies of insect attachment devices, the bioinspired reversible attachment devices were developed and their adhesive and frictional properties were characterised using variety of measurement techniques and compared with the flat surface made of the same polymer.
Biography:
Stanislav Gorb is professor and director at the Zoological Institute of the Kiel University, Germany. He received his PhD degree in zoology and entomology at the Schmalhausen Institute of Zoology of the Ukrainian Academy of Sciences in Kiev (Ukraine). Gorb was a postdoctoral researcher at the University of Vienna (Austria), a research assistant at University of Jena, a group leader at the Max Planck Institutes for Developmental Biology in Tübingen and for Metals Research in Stuttgart (Germany). Gorb’s research focuses on morphology, structure, biomechanics, physiology, and evolution of surface-related functional systems in animals and plants, as well as the development of biologically-inspired technological surfaces and systems. He received the Schlossmann Award in Biology and Materials Science in 1995, International Forum Design Gold Award in 2011 and Materialica “Best of” Award in 2011. In 1998, he was the BioFuture Competition winner for his works on biological attachment devices as possible sources for biomimetics. In 2018, he received Karl-Ritter-von-Frisch Medal of German Zoological Society. Gorb is the Member of the National Academy of Sciences Leopoldina, Germany (since 2011) and Corresponding member of Academy of the Science and Literature Mainz, Germany (since 2010). Gorb has authored several books, more than 500 papers in peer-reviewed journals, and five patents.
Prof. Mikhail Chamonine Ostbayerische Technische Hochschule Regensburg, Germany Plenary
Title:
Magnetoactive elastomers: novel materials for soft robotics and other applications
Abstract:
Cutting-edge research in the field of magnetoactive elastomers (MAEs), which consist of soft-magnetic particles embedded in a soft polymeric matrix, will be presented. After an introduction to the concept, an overview is given of several extraordinary bulk properties and physical phenomena in these smart materials. The “colossal” magnetorheological effect, the “giant” magnetodielectric effect, the “giant” magnetostriction and the magnetic properties of MAEs are discussed. The physical origin of these phenomena is mainly attributed to the rearrangement (change of mutual positions) of magnetic particles in a mechanically soft polymer matrix in the presence of an external magnetic field. This phenomenon is usually referred to as the restructuring of magnetic filler particles. I will discuss possible theoretical approaches to describe significant changes in the physical properties of MAEs in external magnetic fields. Multilayer heterostructures consisting of a magnetoactive elastomer (MAE) layer and a commercially available piezoelectric polymer multilayer will be discussed. These multiferroic structures are promising as sensitive low-frequency magnetic field sensors and “self-sensing” magnetically controlled actuators. It can be expected that the restructuring of the filler should also be “visible” on the MAE surface. In this context, recent results on magnetically controllable surface properties (e.g. wettability, drop splashing and preservation of so-called wetting ridges) of MAE will be presented.
Biography:
Mikhail Shamonin studied physics at Lomonosov University in Moscow, Russia and engineering science at Oxford University in the UK. He received his PhD degree in physics from the University of Osnabrück in Germany with a thesis on magneto-optical waveguides. After a short post-doctoral position at the University of Osnabrück, he worked for more than five years as a physicist for a high-tech company (H. Rosen Engineering GmbH) in Lower Saxony in Germany, which business was mainly in research, development, production, and operation of inspection devices for pipelines and other complex technical systems. Since 2002 he has been Professor for Sensor Technology in the Faculty of Electrical Engineering and Information Technology of the Ostbayerische Technische Hochschule Regensburg in Bavaria, Germany. In recent years, his interest has shifted from sensor technology and metamaterials towards smart materials, particularly magnetoactive elastomers and energy harvesting. Since March 2024 Prof. Shamonin is a Coordinator of the Doctoral Network “Magnetic Soft Matter for Robotics” (acronym MAESTRI), which received funding from the Horizon Europe (HORIZON) under the Marie Skłodowska-Curie Actions-Doctoral Networks grant agreement No 101119614.
Asst. Prof. Shunsuke Shigaki
National Institute of Informatics, Japan
Plenary
Title:
Designing of physical artificial robotics inspired by insect
Abstract:
Insects, despite having a relatively simple nervous system, are capable of responding appropriately to complex environmental and bodily changes. This remarkable ability provides valuable insights for the development of robots tasked with operating in real-world environments. This lecture centers on odor-based navigation, examining how insects demonstrate adaptive behaviors using engineering tools such as a virtual reality framework, while also presenting examples of their implementation in robots.
Biography:
Shunsuke shigaki received the Ph.D. degree in mechanical and control system engineering from Tokyo Institute of Technology, Japan in 2018. He is currently an assistant professor in Principles of Informatics Research Division, National Institute of Informatics, Japan. He had been a JSPS Research Fellowship for Young Scientist from 2015 to 2018. He worked for Yokohama National University from 2018 to 2019, and for Osaka University from 2019 to 2023. His research interests include bio-inspired robotics and algorithms, soft robotics, machine learning, and neuroscience.
Assoc. Prof. Ronnapee Chaichaowarat
Chulalongkorn University, Thailand
Keynote
Title:
Design and System Modeling for Safe Physical Human-Robot Interaction
Abstract:
Robotic systems that are operated in proximity to human counterparts require safe physical human–robot interaction. Actuators with high gear ratios are usually non-backdrivable and unsafe. This talk presents alternative design concepts for achieving variable intrinsic properties e.g., inertia, damping, and stiffness, of linear actuators providing high force for systems such as active body-weight-support systems. With the parallel elastic actuation concept, mechanical springs are applied to reduce the driving torque or force required from motors. By considering biomechanics of motions, passive exoskeletons can be designed to support human activities. Wheelchair-exoskeleton hybrid robots combine the advantages of the wheelchair mode for effectively travelling on smooth surfaces in a stable sitting posture and the exoskeleton mode allowing independent leg motion to overcome obstacles, stairs, and uneven terrains. Background on system modeling could enhance the potential of applying physical AI in the aspect of physical human–robot interaction.
Biography:
Dr. Ronnapee Chaichaowarat (Senior Member, IEEE) received the B.Eng. (Hons.), M.Eng., and Ph.D. degrees in mechanical engineering from Chulalongkorn University, Thailand, in 2012, 2013, and 2015, respectively, and the Ph.D. degree in bioengineering and robotics from Tohoku University, in 2018. He is currently an Associate Professor with the International School of Engineering, Chulalongkorn University. He was a Postdoctoral Associate with the Department of Mechanical Engineering, Massachusetts Institute of Technology (MIT), from 2019 to 2020. He was granted the Junior Science Talent Project Scholarship from the NSTDA of Thailand and the Japanese Government (MEXT) Scholarship. His research interests include compliant actuation, exoskeletons, rehabilitation robots, and vehicle dynamics. He received the Outstanding Young Researcher Award from Chulalongkorn University, in 2024. He was the runner-up of the Young Technologist Award 2024 from the Foundation for the Promotion of Science and Technology under the Patronage of His Majesty the King. He is the Vice Chair of the IEEE Robotics and Automation Society (RAS) Thailand Chapter.
Dr. Elena Gorb
Kiel University, Germany
Plenary
Title:
Understanding Insect-Plant Interactions: Plant Surfaces Preventing Insect Attachment
Abstract:
The long period of reciprocal antagonistic co-evolution between certain insect and plant species has resulted in the emergence of plant surface characteristics that reduce insect attachment. These attributes function as defense mechanisms against herbivores, sap-sucking insects, and nectar thieves, facilitate the temporary capture of insect pollinators, and hinder the escape of insects from the traps of carnivorous plants. The talk consolidates results of our experimental studies on insect-plant interactions in terms of insect attachment to plant surfaces. We give a brief introduction to insect attachment systems and overview a variety of plant surface textures. The effect of different plant surface types on insect attachment and especially the impact of plant surfaces bearing three-dimensional epicuticular wax coverages are demonstrated on numerous examples. Particular emphasis is placed on the mechanisms underlying the anti-adhesive properties of waxy plant surfaces representing challenging substrates for insects: the roughness hypothesis, contamination hypothesis, fluid-adsorption hypothesis, and wax-dissolving hypothesis.
Biography:
Dr. Elena Gorb is a researcher in the Department of Functional Morphology and Biomechanics, Zoological Institute, Kiel University (Kiel, Germany) since 2010. She studied biology at the Kyiv University (Kyiv, Ukraine) in 1982-1987 and was a post-graduate student in the Department of Botany, Biological Faculty, Kyiv University from 1987 to 1993. Elena Gorb received her PhD in biology-botany from the National Academy of Sciences of Ukraine in 1999. From 1993 to 2000, she worked as an assistant professor in the Department of Botany, Biological Faculty, Kyiv University. In 2000-2010, she was a researcher in the Biological Microtribology Group, Max Planck Institute for Developmental Biology (Tuebingen, Germany) and Evolutionary Biomaterials Group, Max Planck Institute for Metals Research (Stuttgart, Germany). Her research interests include insect-plant interactions with the focus on insect attachment to plant surfaces, seed dispersal by animals especially epizoochory and myrmecochory, natural hook-and-loop fasteners and morphology of higher plants. Elena Gorb published 1 scientific monographs, 10 book chapters, and more than 100 peer-reviewed articles.
Dr. Potiwat Ngamkajornwiwat
Panyapiwat Institute of Management, Thailand
Keynote
Title:
Bio-inspired Physical AI and Robotics
Abstract:
Bio-inspired physical AI and robotics represent an interdisciplinary domain that harnesses principles observed in biological systems to engineer advanced, adaptable, and efficient robotic systems. By mimicking the adaptability, efficiency, and resilience of natural organisms, this paradigm empowers robots to operate effectively in dynamic and complex environments. Key advancements encompass artificial hormone mechanisms for real-time behavior regulation, central pattern generators for rhythmic and complex locomotion, and smart composite materials that emulate biological properties to enhance robustness and energy efficiency.
Emerging applications of bio-inspired physical AI encompass a wide range of domains, including soft robotics, planetary exploration, and multi-agent robotic systems. Soft robots, with their deformable materials, excel at navigating complex environments and safely interacting with humans. Planetary exploration platforms, in turn, replicate plant growth behaviors, enabling programmable morphology and adaptability over time. Furthermore, neural network models and swarm intelligence algorithms optimize navigation, motion control, and task execution in multi-robot systems, enhancing their capabilities.
Despite significant advancements, obstacles persist in replicating human-like capabilities,
comprehending intricate biological mechanisms, and integrating these insights into robotic systems. Future research endeavors to progress materials science, AI algorithms, and biomechanical principles, thereby enhancing robotic autonomy and adaptability. By drawing inspiration from nature, bio-inspired physical AI is positioned to transform robotics, paving the way for innovative systems that can effortlessly interact with and adapt to their environments.
Biography:
Dr. Potiwat Ngamkajornwiwat is a distinguished scholar and researcher who obtained his doctoral degree from the prestigious Institute of Field Robotics, a leading center in the fields of robotics and automation. Currently, he serves as a faculty member at the Panyapiwat Institute of Management, where he dedicates his efforts to academic excellence and innovative research. His expertise encompasses a diverse range of disciplines, including artificial hormone mechanisms, locomotion systems, online adaptive algorithms, and space experiments, reflecting his strong commitment to interdisciplinary research that bridges cutting-edge technology with practical applications.
Dr. Potiwat engages in active collaborative research with teams both domestically and
internationally, contributing to a diverse array of projects. His innovative undertakings encompass the design of advanced food production systems for space exploration, as well as the development of robotic art installations, including therapeutic robots that offer comforting embraces to improve sleep quality. These initiatives exemplify his capacity to integrate technological advancements into a wide range of domains and address intricate challenges.
His research interests focus on enhancing robotic perception and adaptability. He explores methods for enabling robots to perceive and respond to dynamic environments, adapt to unfamiliar or hazardous conditions, and develop artificial neural systems that support short-term, and long-term memory. Through this work, Dr. Potiwat aims to advance the cognitive and adaptive capabilities of robots, pushing the frontiers of autonomous functionality.
Dr. Nithima Nakthong
Office of the Basic Education Commission, Thailand
Keynote
Title:
Materials for physical AI and applications
Abstract:
Recent advances in materials science offer novel solutions for critical challenges across multiple industries, ranging from electronics encapsulation to sustainable materials and innovative food processing technologies. Organoclay-based Epoxy-Clay Nanocomposites (ECNs) have demonstrated exceptional potential for encapsulating implanted electronic devices. High polarity organoclays, such as Bentone 27, when incorporated at 1.0wt%, significantly reduce water diffusion rates and improve device lifespans by 30–40% compared to pure epoxy with estimated lifespan of 3–4 years. Biocompatibility tests confirmed the suitability of these materials for long-term implantation, in enhancing the durability of biomedical and wearable AI devices.
Pineapple stem-derived thermoplastic starch (Pineapple-TPS) exemplifies the valorization of agricultural waste into high-performance materials. With superior mechanical strength, biodegradability, and amylose content compared to traditional food-derived starches, Pineapple-TPS offers a sustainable alternative for eco-plastics, functional food, and even cosmetics. Pineapple-TPS demonstrated twice the tensile strength and improved biodegradability compared to conventional TPS. Its properties highlight opportunities for integration into biodegradable AI sensor packaging and flexible substrates.
Emerging non-thermal processing technologies, including Pulsed Electric Field (PEF), High-Pressure Processing (HPP), Supercritical Fluid Extraction (SFE), and Atmospheric Cold Plasma (ACP), offer efficient, sustainable solutions for food and materials industries. PEF enhances juice yield (up to 84% w/w) and microbial inactivation with reduced energy use, while HPP modify biopolymers, preserves nutrients and extends shelf life. SFE provides solvent-free, high-purity extracts, and ACP improves food safety and modify hydrophobicity of materials. These methods enable bioactive compound extraction and biopolymer modification, supporting bio-inspired materials for AI applications, such as responsive hydrogels and biocompatible substrates. AI can further optimize processing these technologies for higher process efficiency and energy saving.
Together, these innovations illustrate the synergy between advanced materials research, sustainability, and physical AI applications.
Biography:
Dr. Siwapon Charoenchai
Mahidol University, Thailand
Keynote
Title:
Multi-agent Systems and Wireless Communication Networking for Physical AI and Robotics
Abstract:
A multi-agent AI system is a framework where multiple AI agents process, decide, and collaborate to achieve a common goal. For instance, most vehicles on the road in the future will be autonomous, each equipped with its own AI processing unit. However, if each autonomous vehicle makes a decision based on its own data, the false decision may occur highly. It would be more efficient if the AI systems in these vehicles could connect, communicate, and exchange information, enabling collaborative decision-making for safer and more efficient traffic management. In this research, an ad hoc network is employed to establish communication links among the vehicles. Additionally, a genetic algorithm is used to optimize network topology and create the best routing paths to achieve maximum throughput and coverage area. The results demonstrate that the proposed ad hoc network achieves higher throughput and wider area coverage compared to traditional cellular networks. Moreover, it eliminates the investment in the installation and maintenance of infrastructures like the cellular-based systems.
Biography:
Siwapon Charoenchai received his B.Eng. degree in Electrical Communication Engineering from Mahidol University, Thailand, in 2010. During the final year of his undergraduate studies, he interned at the National Science and Technology Development Agency (NSTDA), Thailand. From 2011 to 2016, he worked as an electronic engineer at Toyota Motor Asia Pacific-Engineering and Manufacturing Co., Ltd. (TMAP-EM), Thailand. In 2012, he was transferred to Toyota Motor Corporation (TMC), Japan. Upon returning to Thailand in 2013, he was promoted to be a senior electronic engineer at TMAP-EM. In 2023, he received his Ph.D. degree in Electrical and Computer Engineering from King Mongkut’s University of Technology Thonburi (KMUTT), Thailand. Since 2024, he has been a faculty member in the Department of Electrical Engineering, Mahidol University, serving as a lecturer and a researcher of the Cluster of Logistics and Rail Engineering (CLARE). His current research interests include vehicular communications, ad hoc networks, robotics, artificial intelligence, machine learning, data analytics, optimization, heuristic algorithms, game theory, and railway wireless signaling.
Mr. Pakpoom Kriengkomol
AI and Robotics Ventures, Thailand
Keynote
Title:
Physical AI and robotics for the idustry of the future
Abstract:
Autonomous robotics and artificial intelligence (AI) are transforming industrial operations, offering safer, smarter, and more efficient solutions. In this keynote, I will present the high-level architecture of an AI and robotics ecosystem developed by ARV. This ecosystem integrates aerial, ground, subsea robotics and AI together to address diverse operational challenges. This ecosystem consolidates data from these robotic fleets into a unified platform, enabling advanced functionalities such as 3D reconstruction, anomaly detection, and corrosion analysis. The system further simplifies decision-making by generating comprehensive reports and visualizing results through an intuitive online dashboard. While the initial focus is on the oil and gas (O&G) sector, the adaptable nature of this ecosystem positions it for broader applications across various industries.
Biography:
Robotics Team Lead from AI and Robotics Ventures or ARV. Managing the direction and development of AI and Robotics Ecosystem aiming to transform industrial operations, offer safer, smarter and more efficient solutions.