جستجوی استاد راهنمای دانشگاهی

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
• +۵ مورد دیگر

YuFeng Chen is Associate Professor in Electrical Engineering and Computer Science at MIT, with joint affiliation in AI+D. Research focuses on insect-scale aerial robotics, soft actuators, and hybrid locomotion systems. Designs novel micro-robots using dielectric elastomer actuators and triboelectric nanogenerators. Recent work advances energy-efficient aerial manipulation, collision-resilient designs, and swarm coordination. Publications demonstrate innovations in lightweight power systems, soft robotic control strategies, and bio-inspired flight mechanisms for micro-aerial vehicles.

• Robotics
• Micro-Aerial Vehicles
• Soft Actuators
• +۲ مورد دیگر

Chen Li is an Associate Professor in the Department of Mechanical Engineering at Johns Hopkins University (JHU), affiliated with the Whiting School of Engineering and the Laboratory for Computational Sensing and Robotics (LCSR). He also holds a secondary appointment in the Center for Functional Anatomy & Evolution. His research focuses on terradynamics—understanding animal locomotion in complex terrain and applying these principles to robot design. Li’s work integrates biomechanics, robotics, and physics, with notable contributions to bio-inspired robots like the OmniRoach and SenSnake. Li earned a BSc in Physics and Economics from Peking University (2005) and a PhD in Physics from Georgia Tech (2011). As a Miller Postdoctoral Fellow at UC Berkeley (2011–2014), he studied integrative biology and robotics. He joined JHU in 2016. His lab investigates movement in environments like rubble, mud, and arboreal spaces, with applications in search and rescue, planetary exploration, and environmental monitoring. Key research interests include: terradynamics of legged robots, snake-like locomotion, and amphibious fish mobility. Li’s team has published in Science , PNAS , and Advanced Robotics , and received awards such as the Army Research Office Young Investigator Award and the Beckman Young Investigator Award. Education : BSc, Peking University, 2005 PhD, Georgia Tech, 2011 Miller Postdoc, UC Berkeley, 2011–2014 Awards : Miller Research Fellowship (UC Berkeley) Burroughs Wellcome Fund Career Award Army Research Office Young Investigator Award Lab & Collaborations : LCSR (Interdisciplinary robotics and sensing) Focus on bio-inspired robots and terradynamics

• Terradynamics
• Robotics
• Biorobotics
• +۵ مورد دیگر

Steven Hartley Collins is an Associate Professor of Mechanical Engineering at Stanford University and holds a courtesy appointment in Bioengineering. He directs the Stanford Biomechatronics Laboratory, focusing on accelerating the design of prostheses and exoskeletons through device emulators and human-in-the-loop optimization. His work also explores energy-efficient autonomous systems like walking robots and metabolic-cost-reducing exoskeletons. Collins earned his B.S. from Cornell University (2002) and Ph.D. from the University of Michigan (2008), followed by postdoctoral research at Delft University of Technology. Before joining Stanford in 2017, he was a professor at Carnegie Mellon University. His research spans biomechatronics, robotics, and biomechanics, with notable contributions to prosthetic design, exoskeleton control, and energy-efficient locomotion. He has been awarded the Young Scientist Award from the American Society of Biomechanics and the Best Medical Devices Paper at ICRA, among others. Collins teaches courses on design and robotics and is actively involved in academic leadership, including roles on the Scientific Board of Dynamic Walking and the Editorial Board of Science Robotics . Collins' lab emphasizes interdisciplinary collaboration, combining mechanical engineering with biological principles to create assistive technologies that enhance human mobility. His current projects include developing adaptive exoskeletons and refining human-in-the-loop optimization techniques for personalized device prescription.

• Biomechatronics
• Robotics
• Prosthetics Design
• +۴ مورد دیگر

Dr. Stalin Kondaveeti is a Researcher at the Climate Change Cluster (C3), University of Technology Sydney (UTS), affiliated with the Faculty of Science. His work focuses on biomaterials, environmental science, and sustainable materials development. He holds a PhD from the Central Salt and Marine Chemicals Research Institute (2009–2014), an M.Sc. from N E S Science College (2006–2008), and a B.Sc. from JKC College (2003–2006). His research interests span biomaterials, polymers, and environmental applications, with a focus on sustainable solutions such as biochar, hydrogels, and aerogels. Recent studies include optimizing biochar for heavy metal adsorption and developing self-healing ionotronic hydrogels for wearable healthcare devices. His work bridges materials science and environmental engineering, addressing challenges in pollution control and renewable resource utilization. Dr. Kondaveeti collaborates on funded projects like the Deep Green Biotech Hub (2024–2027) and bio-based bead development for carbon capture. His contributions span academic publications and industry partnerships, emphasizing practical applications of advanced materials.

• Biomaterials
• Polymers and Plastics
• Environmental Science
• +۳ مورد دیگر

Lola England de Valpine Professor of Applied Mathematics, Organismic and Evolutionary Biology, and Physics at Harvard University. Faculty Dean of Mather House and Area Chair for Applied Mathematics. Affiliated with Harvard University Center for the Environment, Materials Research Science and Engineering Center, and Kavli Institute for Bionano Science & Technology. Research focuses on interdisciplinary applications of applied mathematics to biological, physical, and engineering systems. Education details not explicitly listed in text. Research interests include mechanics of soft materials, biomechanics, robotics, developmental biology, and statistical physics. His work bridges theoretical frameworks with experimental observations to explain phenomena ranging from snake locomotion to brain folding patterns. Recent publications emphasize control strategies in stochastic systems, robotics using modular particle chains, and morphogenesis in biological systems. Active collaborations span robotics design, synthetic biology, and environmental science. His Soft Math Lab explores the intersection of geometry, mechanics, and biology. Recipient of prestigious appointments including endowed professorships. Advising and grant activities not detailed here but reflect long-term engagement in interdisciplinary research. Lab work includes development of kirigami-based metamaterials and bio-inspired robotics.

• Applied Mathematics
• Biophysics
• Mechanics of Soft Materials
• +۵ مورد دیگر

Dr. Yu She is an Assistant Professor at the Edwardson School of Industrial Engineering, Purdue University, specializing in robotics, mechanism design, and tactile perception. His research focuses on developing advanced robotic systems for manufacturing and automation, with an emphasis on multi-sensor integration and machine learning applications. Education: Postdoc, Computer Science and Artificial Intelligence Lab, MIT (2018-2021) PhD in Mechanical Engineering, Ohio State University (2018) MS in Electrical and Computer Engineering, Ohio State University (2018) MS in Mechanical Engineering, Harbin Institute of Technology, Shenzhen (2014) BS in Mechanical Engineering, Taiyuan University of Technology (2011) His research explores the intersection of robotics, machine learning, and sensor technology, with applications ranging from delicate bio-product manipulation to industrial automation. Key areas include tactile perception systems, robotic gripper design, and reinforcement learning for control policies. Recent publications demonstrate a consistent focus on improving robotic dexterity through advanced tactile sensing and machine learning. Work shows strong momentum in visuo-tactile integration, differentiable trajectory optimization, and bio-inspired manipulation systems suitable for unstructured environments. Dr. She leads research on tactile-reactive grippers for complex tasks like cable untangling and deformable object manipulation. His lab develops novel hardware-software solutions for industrial applications including poultry processing automation and additive manufacturing.

• Robotics
• Mechanism Design
• Tactile Perception
• +۲ مورد دیگر

Dr. Fred Fialho Leandro Alves Teixeira is a Senior Lecturer and Deputy Director (Engagement) at the University of Queensland's School of Architecture, Design and Planning. His research focuses on computational architecture, immersive environments, and bio-augmented spaces. He co-founded the UQ Visualisation Lab, specializing in extended realities and spatial computing. With over 50 publications, his work bridges biology, art, and architecture. He holds a PhD from Istanbul Technical University and is accredited by RIBA and Portuguese architectural bodies. Awards include Dean’s Fellowship (UC) and Media Arts and Technology Fellowships. His projects, such as RoboBlox and digital twin frameworks, emphasize innovation in design and fabrication. Education: PhD in Architecture (Istanbul Technical University, 2014), Architectural Association (AA), and RIBA accreditation. Research: Bio-inspired design, mixed reality, robotic fabrication, and urban sustainability. Key Projects: UQ Visualisation Lab, Perception of Space studies, and SHErobots initiative. His teaching emphasizes transdisciplinary approaches, as seen in co-authored works on global design education. Collaborations include Zaha Hadid Architects and interdisciplinary teams in robotics and art.

• Computational Architecture
• Immersive Environments
• Bio-augmented Spaces
• +۵ مورد دیگر

Dr. Jianguo Jack Wang is a Lecturer at the School of Civil and Environmental Engineering, University of Technology Sydney (UTS). He holds a B.Sc. in Physics from Nanjing University, M.Sc. in Electrical and Information Engineering from The University of Sydney, and a PhD in Geomatics from UNSW. His research focuses on sensor fusion, robotics, intelligent transportation systems, and environmental engineering. He has published over 70 papers and supervised around ten PhD/Master students. Notable achievements include the Michael Richey Medal for his navigation method innovation. Dr. Wang’s research interests span robotics path planning, UWB-based positioning, and multi-sensor integration. His work emphasizes practical applications in autonomous systems and environmental sustainability. He actively reviews for top journals like IEEE Transactions on Intelligent Transportation Systems and conferences such as ICRA and IROS. He has led funded projects on sensor fusion for road assessment and participated in initiatives like the Centre for Built Infrastructure Research (CBIR). His teaching includes courses on Geographic Information Systems and Civil Engineering. Dr. Wang is affiliated with IEEE Robotics and Automation Society and the Institute of Navigation (ION).

• Sensor Fusion
• Robotics
• Intelligent Transportation Systems
• +۴ مورد دیگر

Barani Raman is a Professor of Biomedical Engineering at the McKelvey School of Engineering, Washington University in St. Louis. His research integrates computational neuroscience, neuromorphic engineering, and sensor technologies to develop bio-inspired systems with applications in biomedical devices, environmental monitoring, and security. He holds a PhD from Texas A&M University and joined Washington University in 2010 after postdoctoral training at NIH and NIST. Education: PhD, Texas A&M University, 2005 MS, Texas A&M University, 2003 B.Eng., University of Madras, 2000 Research Interests: His lab explores how the brain processes sensory signals (e.g., olfactory cues) and translates these insights into technologies like electronic noses and neuromorphic devices. Recent work includes serotonin’s role in locust olfaction and nanoparticle interactions with neurons for treating neurological disorders. Grants & Collaborations: $650,000 NSF Convergence Accelerator grant (2024) for water quality monitoring and electronic nose development Collaborations with Srikanth Singamaneni on neuroengineering He leads the Raman Lab and is affiliated with the Center for Science and Engineering of Living Systems and the Imaging Science PhD Program.

• Computational Neuroscience
• Systems Neuroscience
• Pattern Recognition
• +۷ مورد دیگر

Peter Kappel is a Doctoral Researcher affiliated with the Cluster of Excellence liv MatS (Freiburg Center for Interactive Materials and Bioinspired Technologies) and the Plant Biomechanics Group Freiburg (PBMG) at the University of Freiburg. His research focuses on developing bio-inspired soft robotic systems, particularly soft gripper technologies that integrate decentralized material-immanent processing and embodied intelligence. He is supervised by Prof. Dr. Thomas Speck. His work emphasizes bioinspired engineering, with a focus on pneumatic actuators and material science applications. Recent publications explore avian tendon mechanics and 3D printing techniques for soft robotics components. He collaborates within liv MatS to advance smart materials integration in robotic systems. Advising: Supervised by Prof. Thomas Speck. No listed advisees. Grants: Funded by DFG via Germany's Excellence Strategy (EXC-2193/1). Labs/Teams: Core member of the Plant Biomechanics Group and liv MatS, contributing to interdisciplinary material and robotics research.

• Soft Robotics
• Bioinspired Technologies
• Robotics
• +۳ مورد دیگر

Sebastian Kruppert is a Postdoctoral Researcher at the Cluster of Excellence liv MatS (Freiburg Center for Interactive Materials and Bioinspired Technologies) and the Plant Biomechanics Group Freiburg. His research focuses on predator-prey interaction mechanics, applying ecological insights to optimize gait patterns in soft autonomous machines (SaM). He integrates zoological and botanical knowledge to enhance machine performance in speed, maneuverability, and load-bearing capacity. He collaborates closely with Prof. Dr. Thomas Speck as his first supervisor. His work bridges biology and engineering, particularly in biomimetic technologies. Key contributions include studies on plant latex solidification mechanisms and biomimetic valve design for overpressure release systems. Recent publications highlight his interdisciplinary approach, addressing both plant defense mechanisms and engineering applications. He actively participates in livMatS colloquia, engaging with experts in materials science and bioinspired technologies.

• Bio-inspired Engineering
• Predator-Prey Interactions
• Biomechanics
• +۳ مورد دیگر

Bernd Bruchmann serves as a Member of the Scientific Advisory Board and Head of BASF's Joint Research Network on Advanced Materials and Systems (JONAS), collaborating closely with the University of Freiburg and other academic institutions. His work focuses on advanced materials science with an emphasis on sustainable polymers, surface technologies, and biomimetic systems. He leads interdisciplinary research initiatives integrating industry and academia to develop next-generation materials. Research interests include bio-inspired material design, smart responsive materials, and 4D printing applications. His team explores mechanisms from nature (e.g., plant actuation) to create adaptive engineering solutions. Recent work demonstrates innovations in cold-drawn polymer surfaces, pine cone-inspired actuation systems, and low-cost biomimetic models for education. Publications highlight contributions to materials science through cross-disciplinary approaches, funded by Germany's Excellence Strategy (DFG). Current projects emphasize sustainability in material development and functional surface engineering. Bruchmann coordinates the JONAS network involving Freiburg University, ETH Zurich, and I.S.I.S. Strasbourg, bridging academic research with industrial applications.

• Advanced Materials and Systems
• Sustainable Polymers
• Polyaddition and Polycondensation Polymers
• +۴ مورد دیگر

Alexander Amini is a Postdoctoral Researcher at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) , working under the guidance of Prof. Daniela Rus. He earned his PhD (2022), Master of Science (2018), and Bachelor of Science (2017) in Computer Science from MIT, with a minor in Mathematics. Amini co-founded Liquid AI and Themis AI , and serves as a lead organizer and lecturer for MIT's deep learning course 6.S191 . His research focuses on the science and engineering of autonomy , particularly for safe decision-making in uncertain environments. Key contributions include Developing end-to-end control systems for autonomous agents Formulating confidence metrics in neural networks Creating mathematical models for human mobility analysis Innovating inertial refinement systems Amini's publications reveal trends across autonomous vehicle control , robust machine learning , and uncertainty quantification . His work spans continuous-time neural models, sensor optimization for soft robotics, and applications in molecular discovery and financial modeling. Notable collaborations include projects with NVIDIA and Harvard Medical School. Scientific recognition includes 2011 EU Contest for Young Scientists Grand Prize 2011 BT Young Scientist overall winner 2017 NSF Graduate Fellowship 2020 MIT Outstanding Mentor Award 2021 JP Morgan Fellowship As part of MIT's Distributed Robotics Laboratory , Amini works on systems that combine robotics with everyday life applications, supported by grants from FinTech@CSAIL and MachineLearningApplications@CSAIL for bias mitigation in financial and clinical domains.

• Autonomous Systems
• Machine Learning
• Robotics
• +۹ مورد دیگر

Dr. Chew Chee Meng is a faculty member at the Department of Mechanical Engineering, National University of Singapore (NUS). He holds a PhD from MIT and has contributed extensively to robotics research, particularly in humanoid robots, biomimetics, and autonomous systems. His work spans both theoretical and applied domains, including the design of force-control actuators, manta ray-inspired underwater robots, and assistive devices for rehabilitation. PhD (MIT) SM (MIT) M.Eng. (NUS) B.Eng. (1st Class Honours, NUS) Dr. Chew's research interests include Industrial Robotics , Humanoid Robotics , Biomimetic Systems , and Autonomous Vehicles . His publications focus on bipedal locomotion, control algorithms, and actuator design. He has supervised student teams in competitions like RoboCup and Maritime RobotX Challenge, achieving notable awards. As a Lead PI in the Keppel-NUS Corp Lab, he works on productivity enhancement in robotics. He is an Associate Editor for the International Journal of Humanoid Robotics and actively involved in IEEE societies. First Prize, RoboCup 2010 Adult-Size Humanoid League Fifth Prize, Maritime RobotX Challenge 2014 Dr. Chew has taught modules such as Advanced Robotics and Robot Mechanics and Control since 2001, demonstrating his long-term commitment to robotics education and innovation.

• Robotics
• Humanoid Robotics
• Industrial Robotics
• +۷ مورد دیگر