Luis Sentis is an Associate Professor in the Department of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin and General Dynamics Endowed Faculty Fellow. He received his Ph.D. and M.S. degrees in Electrical Engineering from Stanford University where he was also a Postdoctoral Fellow in the Computer Science Department. He was a La Caixa Foundation Fellow while at Stanford. He holds a B.S. degree in Telecommunications and Electronics Engineering from the Polytechnic University of Catalonia. Before Stanford, he worked in Silicon Valley as a Control Systems Engineer.
In Austin, he leads the Human Centered Robotics Laboratory, a laboratory focusing on control and experimentation with walking robots and exoskeletons, design of high performance ground systems, and algorithms for active sensing in human environments. He is also a founding member of the UT Robotics Portfolio Program and the UT Robotics Center of Excellence. He was the UT Austin's Lead for DARPA's Robotics Challenge with NASA Johnson Space Center where he helped to design and test the Valkyrie humanoid robot. His research has been funded by NASA, the Office of Naval Research, Army Futures Command, NSF, DARPA, and private companies.
He has been awarded the NASA Elite Team Award for his contributions to NASA’s Johnson Space Center Software Robotics and Simulation Division. He is also a founding member and scientific advisor for Apptronik Systems, a company focusing on human-centered robotic products and R&D in human-augmentation exoskeletons and humanoids.
Talk title: Perceptive Locomotion Augmented with Human in the Loop Supervision for Dynamic Environments
Maani Ghaffari is an Assistant Professor in Naval Architecture and Marine Engineering and Robotics at The University of Michigan in Ann Arbor. He received the Ph.D. degree from the Centre for Autonomous Systems (CAS), University of Technology Sydney, NSW, Australia, in 2017. He recently established the Computational Autonomy and Robotics Laboratory. His research interests lie in the theory and applications of robotics and autonomous systems.
Talk title: Progress in Symmetry Preserving Robot Perception and Control through Geometry and Learning
Pulkit Agrawal is an assistant professor in MIT’s Department of Electrical Engineering and Computer Science. His research interests span robotics, deep learning, computer vision and reinforcement learning. Agrawal’s overarching goal is to build machines that can automatically and continuously learn about their environment to reach what humans consider common sense. Agrawal earned his BS from IIT Kanpur and was awarded the Director’s Gold Medal. He earned his PhD from UC Berkeley and co-founded SafelyYou Inc. His work has appeared in MIT Tech Review, Quanta and New Scientist. He is a recipient of Sony Faculty Research Award, Signatures Fellow Award, Fulbright Science and Technology Award, Goldman Sachs Global Leadership Award, OPJEMS and Sridhar Memorial Prize, among others. Agrawal holds the equivalent of a BA in Indian classical music and occasionally performs.
Talk title: Building Blocks for Perceptive Locomotion
Marco Hutter is Assistant Professor for Robotic Systems at ETH Zurich, Switzerland, since 2015 and a Branco Weiss fellow since 2014. Before this, he was the Deputy Director and Group Leader in the field of legged robotics at the Autonomous Systems Lab at ETH Zurich. After studying mechanical engineering, he completed a doctoral degree in robotics at ETH Zurich with a focus on the design, actuation, and control of dynamic legged robotic systems. Beside his commitment within the NCCR Digital Fabrication since October 2015, Marco Hutter is part of the NCCR Robotics and coordinator of several research projects, industrial collaborations, and international competitions that target the application of high-mobile autonomous vehicles in challenging environments such as for search and rescue, industrial inspection, or construction operation. His research interests lie in the development of novel machines and actuation concepts together with the underlying control, planning, and optimisation algorithms for locomotion and manipulation.
Talk title: Making Sense of the World for Robot Locomotion
Serena Ivaldi is a tenured research scientist at Inria, leading the humanoid and human-robot interaction activities of the Team Larsen in Inria Nancy, France. She obtained her Ph.D. in Humanoid Technologies in 2011 at the Italian Institute of Technology. Prior to joining Inria, she was post-doctoral researcher in UPMC in Paris, France, then at the University of Darmstadt, Germany. She has been co-coordinator and PI of several collaborative projects, such as the EU projects CoDyCo (FP7) and AnDy (H2020), concerting the development of advanced anticipatory control and interaction skills for humanoid robots and exoskeletons. She has been developing whole-body tele-operation for the iCub humanoid robot and recently pioneered the use of exoskeletons in the ICU to physically assist physicians.
She was Program Chair of the conference IEEE/RAS Humanoids 2019. She is co-leader of the Humanoid Robotics Group of GDR Robotique (the French Robotics society). She was recently awarded the Suzanne Zivi Prize for excellence in research.
Talk title: Teleoperated humanoids: compensating delays, fall recovery reflex, and automatic tuning