RSS Workshop: Topology meets Robotics

Proposed event to be held in conjunction with Robotics: Science and Systems 2021 (RSS 2021)


Vasileios Vasilopoulos
Postdoctoral Researcher
GRASP Laboratory
University of Pennsylvania

Vasileios Vasilopoulos is a postdoctoral researcher in the Department of Electrical & Systems Engineering at the University of Pennsylvania, working with Prof. Dan Koditschek and Prof. George Pappas. His research interests are in the areas of task and motion planning in unknown environments, mobile manipulation and legged robotics. He received his Diploma from the National Technical University of Athens (NTUA) in 2014, and his M.S.E. and Ph.D. degrees from the University of Pennsylvania in 2018 and 2021 respectively, all in Mechanical Engineering.

Christoforos Mavrogiannis
Research Associate
Paul G. Allen School of Computer Science & Engineering
University of Washington

Chris (Christoforos) Mavrogiannis is a postdoctoral research associate in the Allen School of Computer Science & Engineering at the University of Washington, working with Prof. Srinivasa. His interests lie at the intersection of motion planning, multiagent navigation, and human-robot interaction, and he often draws tools from topology and machine learning. He is currently working on the design of planning algorithms for robot navigation in multiagent environments including driving domains and crowded pedestrian spaces. He is also leading MuSHR, the lab's project on the development of an autonomous robotic racecar, and coordinates the lab's contributions to the Honda Curious Minded Machine Project for the development of robots that leverage curiosity to interact seamlessly with their human partners. Chris holds MS and PhD degrees from Cornell University, and a Diploma in mechanical engineering from the National Technical University of Athens.

Claire Liang
PhD student
Cornell University

Claire Liang is a PhD Student in the Computer Science Department at Cornell University, working with Prof. Hadas Kress-Gazit in the Verifiable Robotics Research Group. Her research interests are in planning with minimal information and building simple, usable, accessible robots for use with humans in human spaces. She's currently working on a robot that can navigate in human spaces such as airports and malls with no map by using contextual clues about their space. She holds M.S. and B.S. degrees from Cornell University.

Florian Pokorny
Associate Professor
Machine Learning (Robotics, Perception and Learning)

Florian T. Pokorny is an Associate Professor of Machine Learning within the division of Robotics, Perception and Learning at KTH Royal Institute of Technology. During 05/2015-04/2016, he was conducting post-doctoral research as a visiting J-1 research scholar/visiting assistant project scientist with the AMPlab and the Berkeley Automation Science Lab at the University of California, Berkeley where he worked under supervision of Prof. Ken Goldberg. Previously, he was a researcher and postdoc working with Prof. Danica Kragic and her group at KTH. Before then, he completed his PhD entitled "The Bergman Kernel on Toric Kähler Manifolds" under supervision of Prof. Michael Singer at the University of Edinburgh. Before that, he also received a BSc in Mathematics from the University of Edinburgh and a Master of Advanced Study in Mathematics (also known as Part III) from the University of Cambridge and also spent a year as an exchange student at the National University of Singapore.

Subhrajit Bhattacharya
Assistant Professor
Mechanical Engineering and Mechanics
Lehigh University

Subhrajit Bhattacharya is an assistant professor in the Department of Mechanical Engineering and Mechanics of Lehigh University. He completed his Ph.D. in Mechanical Engineering and Applied Mechanics, and was a postdoctoral researcher in the Department of Mathematics at the University of Pennsylvania before joining Lehigh. His research interests are centered around applications of topological and geometric methods in motion planning and control of autonomous, intelligent systems.

Siddhartha S. Srinivasa
Boeing Endowed Professor
Paul G. Allen School of Computer Science & Engineering
University of Washington

Siddhartha S. Srinivasa is the Boeing Endowed Professor at the School of Computer Science and Engineering, University of Washington. He earned his PhD in robotics from Carnegie Mellon University. He works on robotic manipulation, with the goal of enabling robots to perform complex manipulation tasks under uncertainty and clutter, with and around people. To this end, he founded the Personal Robotics Lab in 2005. He is also passionate about building end-to-end systems (HERB, ADA, HRP3, CHIMP, Andy, among others) that integrate perception, planning, and control in the real world. Understanding the interplay between system components has helped produce state-of-the-art algorithms for robotic manipulation, motion planning, object recognition, and pose estimation (MOPED), dense 3-D modeling (CHISEL, now used by Google Project Tango), and mathematical models for human–robot collaboration.