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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]
Eduardo Sebastián
University of Cambridge
Lifelong Collective Robot Autonomy
Jesse Zhang
University of Washington
Breaking the Supervision Bottleneck: Scalable Robot Adaptation via Foundation Models
Shijie Lin
The University of Hong Kong
Agile Eyes for Agile Robots: Bio-Inspired Computational Neuromorphic Vision for Robotics
Ethan Kroll Gordon
University of Pennsylvania
Empowering Physically Assistive Robots with Multimodal Active Learning
Zihang Zhao
Peking University
Embodied Tactile Intelligence: From Adaptive Manipulation to Knowledge Accumulation
Xin Zhou
Differential Robotics (Hangzhou) Technology Co., Ltd.
Towards Lightweight Autonomous UAV Swarms for Complex Missions
Haozhi Qi
Amazon
Advancing Generalizable Robot Dexterity via Multisensory Learning and Transfer
Chenying Liu
University of Oxford
Robotic Intelligence Through Physical Structures: Embodied Co-Design Across Length Scales
Jennifer Wakulicz
The University of Sydney
Robots that reconsider: introspective perception for resilient autonomous systems
Thai Duong
Rice University
Exploiting Dynamics Structures in Learning, Planning and Control for Effective Robot Autonomy
Zhuo Chen
King's College London
Towards Human-Level Robotic Tactile Intelligence: Unify, Transfer, and Coordinate
Debasmita Ghose
Yale University
On-the-Job Robot Adaptation to Human Goals
Zuria Bauer
ETH Zurich
Human-Centric Robotic Scene Understanding through Structured Representations
Isaac S Sheidlower
Brown University
Unlocking User Control Over Algorithms for Fluid and Aligned Human-Robot Interactions
Hanjiang Hu
Carnegie Mellon University
Toward Verifiable Autonomy: Provable Safety and Robustness in Learning-Enabled Robotics
Tianyu Wang
Georgia Institute of Technology
Accessing the Inaccessible: Mechanical Intelligence for Robotic Locomotion in Complex Environments
Utkarsh Aashu Mishra
Georgia Institute of Technology
Compositional Generative Modeling for Scalable Long-Horizon Robot Planning
Andre Farinha
CSIRO - Commonwealth Scientific and Industrial Research Organisation
Computational Design of Adaptive Morphologies for Multimodal Robots
Peter Zhi Xuan Li
Massachusetts Institute of Technology
Towards Memory-Efficient and Hardware-Accelerated Autonomy for Edge Robotics
Apurva Badithela
Princeton University
Reliable and Scalable Evaluation for the Next Generation of Robotics
Nathan Hughes
Massachusetts Institute of Technology
Actionable and Hierarchical 3D Spatial AI
Anuj Pasricha
University of Colorado Boulder
Architectural Interfaces for Constraint Satisfaction in Generative Robot Control
Ola Sho
Princeton University, USA
Physically Grounding AI Robots’ Intelligence by Knowing What They Do Not Know
Jingxi Xu
Columbia University in the City of New York
Overcoming Data Scarcity in Rehabilitation Robots
David Snyder
University of Pennsylvania
Constructing Meaningful Robot Assurances in the Age of Large Models
Parv Kapoor
Carnegie Mellon University
Formal Methods for Learning-Enabled Safe Autonomy
Parag Khanna
KTH Royal Institute of Technology
Adaptive Bi-Directional Human-Robot Handovers: Weight, Intent, and Attribute-Aware Interaction
Disha Kamale
University of Michigan
Closing the Abstraction Gap: Adaptive Abstractions for Provably Safe Robot Planning
Rohit Mohan
University of Freiburg
Perception Beyond the Visible: Incompleteness-Aware Scene Understanding for Robot Autonomy
Cristiana de Farias
Technische Universität Darmstadt
Active Perception for Dexterity: Towards Efficient Perception-Driven Robotic Manipulation
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