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We are pleased to announce the 30 PhD students, postdocs, and industry research scientists who have been accepted to this year's Pioneers Workshop.
[random sorting--the most computationally inexpensive way to sort, plus it reduces bias]
Thomas Weng
Ki Myung Brian Lee
University of Technology Sydney, Australia
Alaa Eldin Abdelaal
Stanford University, USA
Human-Centered Multimodal Skill Augmentation in Robot-Assisted Surgery
Sihui Li
Colorado School of Mines, USA
Masha Itkina
Toyota Research Institute (TRI), USA
Uncertainty-Aware Learnign Algorithms for Human-Robot Systems
Ekta U. Samani
University of Washington, USA
Human-Inspired Topological Representations for Robust Perception in Unstructured Environments
Roee M. Francos
Technion-Israel Institute of Technology, Israel
Provably Safe Effecient Multi-Agent Team Cooperation Under Uncertainties
Ankit Goyal
NVIDIA, USA
Mengdi Xu
Carnegie Mellon University, USA
On the Efficiency and Robustness of Generalizable Robot Learning with Uncertainty
Nare Karapetyan
University of Maryland, College Park, USA
Maram Sakr
University of British Columbia, Canada
Towards an Efficient Teaching by Demonstration Framework for Robot Learning
Charles B. Dawson
Massachusetts Institute of Technology, USA
Superpowers for robot designers: simulation-driven design optimization and safety verification
Benjamin Riviere
California Institute of Technology, USA
Robot Intelligence Grows on Trees: Anytime Search for Sequential Decision-Making
Mariah Schrum
Georgia Institute of Technology, USA
Data-Driven Personalization Techniques to Account for Heterogeneity in Human-Robot Interaction
Mahdieh Nejati Javaremi
Northwestern University, USA
Sven Lilge
University of Toronto, Canada
Modeling, State Estimation and Control for Continuum Robotic Manipuation
Simon Le Cleac'h
Stanford University, USA
Towards Efficient Optimization Through Contact: Simulation, Gradients, and Algorithms
Manuel Keppler
German Aerospace Center (DLR), Germany
Unifying the Control of Rigid Robots and Articulated Soft Robots
Zhenhua Yu
Imperial College London, England
Towards the Neuromorphic Computing for Offroad Robot Environment Perception and Navigation
Youcan Yan
The French National Centre for Scientific Research (CNRS), France
Chen Tang
University of California, Berkeley, USA
Explainable Autonomous Driving for Trustworthy Human Interaction
Julen Urain
TU Darmstadt, Germany
Robot Motion Generative Models: Geometry, Composition, and Learning
Rachael Bevill Burns
Max Planck Institute for Intelligent Systems, Germany
Creating a Haptic Empathetic Robot Animal for Children with Autism
Matthew Fontaine
University of Southern California, USA
Quality Diversity Scenario Generation for Evaluating Human-Robot Interaction
Hassan A.H. Fouad
Polytechnique Montreal, Canada
Zhongyu Li
University of California, Berkeley, USA
Towards Safe, Robust and Dynamic Legged Locomotion and Beyond
Yifeng Zhu
The University of Texas at Austin, USA
Building Human-Like Learning Household Robots via Perceptual and Motor Abstractions
Rachel Holladay
Massachusetts Institute of Technology, USA
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