Participants

We are pleased to announce the 30 international PhD students and postdocs who have been accepted to this year's Pioneers Workshop.

The ordering on this page is randomized (as opposed to ordering alphabetically). Read more about biases due to alphabetical ordering.

• Xingyu Lin (Carnegie Mellon University, USA) - "Deformable Object Manipulation by Learning Structured World Model"

• Rohan Chandra (University of Texas, Austin, USA) - "Towards Autonomous Driving in Dense, Heterogeneous, and Unstructured Environments"

• Matthew Giamou (University of Toronto Institute for Aerospace Studies (UTIAS), Canada) - "Convex Optimization for Geometric Problems in Robotics"

• Lillian Chin (Massachusetts Institute of Technology, USA) - "Empowering Architected Materials with Robotic Functionality"

• Andrew Morgan (Yale University, USA) - "Learning to Visually Observe, Plan, and Control Compliant Robot In-Hand Manipulation"

• Anqi Li (University of Washington, USA) - "Safe, Efficient, and Explainable Robot Learning with Structured Policies"

• Suraj Nair (Stanford University, USA) - "Towards Broad Generalization in Robotic Manipulation: Data, Algorithms, and Supervision"

• Nelson Rosa Jr. (University of Stuttgart, Germany) - "Exploiting Fundamental Properties of Bipedal Locomotion for Fun and Profit"

• Oier Mees (University of Freiburg, Germany) - "Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks"

• Lena Downes (Massachusetts Institute of Technology, USA) - "Global Localization via Neural Network Powered Computer Vision"

• George P. Kontoudis (University of Maryland, USA) - "Scalable Multi-Robot Active Exploration"

• Kevin Doherty (Massachusetts Institute of Technology, USA) - "Lifelong Learning-Augmented Robot Navigation"

• SiQi Zhou (University of Toronto, Canada) - "Neural Networks as Add-on Modules for Enhancing Robot Performance"

• Sonia Roberts (Northeastern University, USA) - "An ecological framework for robotics"

• Andreea Bobu (University of California Berkeley, USA) - "Efficient Robot Teaching by Learning Intermediate Human-Guided Representations"

• Youngwoon Lee (University of Southern California, USA) - "Scaling Robot Learning with Skills: Towards Furniture Assembly and Beyond"

• David Paulius (Brown University, USA) - "Efficient Task and Motion Planning with High-Level Knowledge Abstraction"

• Daniel Seita (Carnegie Mellon University, USA) - "Algorithms and Representations for Learning Deformable Object Manipulation"

• Carlo Sferrazza (ETH Zurich, Switzerland) - "Towards a general framework for tactile sensing."

• Kaiyu Zheng (Brown University, USA) - "Robot Acting and Interacting Under Partial Observability and Perceptual Uncertainty"

• Glen Chou (University of Michigan, USA) - "Safely Integrating Perception, Planning, and Control for Robust Learning-Based Robot Autonomy"

• Brian Hou (University of Washington, USA) - "Online Learning for Robot Motion Planning under Uncertainty"

• Simon Stepputtis (Carnegie Mellon University, USA) - "Language-Conditioned Human-Agent Teaming"

• Raunak Bhattacharyya (University of Oxford, England) - "Towards Effective Human Robot Teaming through Learning, Task Allocation and Metacognition"

• Aaquib Tabrez (University of Colorado Boulder, USA) - "Mediating Trust and Influence in Human-Robot Interaction via Explainable AI"

• Weiyu Liu (Georgia Tech, USA) - "Grounded Semantic Reasoning for Robotic Perception and Manipulation"

• Vivek Thangavelu (Cornell University, USA) - "Multi-Robot Construction Systems in Unstructured Environments"

• Joe Watson (TU Darmstadt, Germany) - "Inference, Models and Priors for Control"

• Fanta Camara (University of Leeds/University of Lincoln, UK) - "Learning Pedestrian Social Behaviour for Game-Theoretic Self-Driving Cars"

• Jiachen Li (Stanford University, USA) - "Towards Interactive Autonomy with Relational Reasoning"