2025 Pioneers

We are pleased to announce the 33 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]

Lasse Peters

TU Delft, The Netherlands

Towards Fast, Flexible, and Data-Efficient Algorithms for Multi-Agent Interaction

Zih-Yun Chiu

UCSD, USA

Advancing Robot Sensing, Planning, and Adaptability for High-Stakes Medical Automation

Thomas M. Kwok

University of Waterloo, Canada

Empowering Healthcare with Robotics: Advancing Stroke Rehabilitation and Elderly Caregiving

Robert Baines

ETH Zurich, Switzerland

Adaptive robots for a sustainable and productive future

Nana Obayashi

EPFL, Switzerland

Advancing Robot Design through Morphology and Fluid Environment Interactions

Guanqi Liang

Chinese University of Hong Kong, Shenzhen

Freeform Modular Robots: Reconfigurability via Swarm Spheres

Jeongmin Lee

Seoul National University, South Korea

Enhancing Physics Simulators for Reliable and Scalable Data Generation

Victoria Edwards

University of Pennsylvania, USA

Design, Collaborate, and Adapt: Multi Robot Systems for Monitoring Dynamic Environments

Muqing Cao

CMU, USA

Entanglement-free Motion Planning for Multiple Tethered Robots

Kehan Long

UCSD, USA

Certifiable Robot Autonomy Under Uncertainty

Hanna Krasowski

UC Berkeley, USA

Advancing Learning-based Autonomy with Formal Methods

Alan Papalia

Northeastern University, USA

Algorithmic Foundations for Autonomous Environmental Monitoring

Yue Pan

University of Bonn, Germany

Unified Neural Scene Representation For Robotics

Lukas Schmid

MIT, USA

Spatio-Temporal AI for Long-term Human-centric Robot Autonomy

Sudharshan Suresh

Boston Dynamics, USA

Perception amidst interaction: vision and touch enable useful manipulation

Gi-Cheon Kang

Seoul National University, South Korea

Language-Driven Robotics: Learning and Interaction

Ishika Singh

USC, USA

Adapting Large Pre-Trained Models for Generalized Robot Reasoning and Control

Yecheng (Jason) Ma

University of Pennsylvania, USA

Foundation Reward Models for General Robot Skill Acquisition

Puze Liu

German Research Center for AI, Germany

Advancing Safe and Reactive Robot Skills in Dynamic Environments

Huihan Liu

UT Austin, USA

Building Continually Improving and Reliable Autonomy through Human-Robot Collaboration

Shuijing Liu

UT Austin, USA

Structured Interaction Models Enables Human-Robot Coexistence in the Wild

Michael Hagenow

MIT, USA

Shared Autonomy and Teaching Tools for Flexible Human-Robot Teaming

Haimin Hu

Princeton University, USA

Gambits or Assurances? Towards Robust and Verifiable Intelligence for Human-Centered Robotics

Peizhu Qian

Rice University, USA

Algorithmic Robot Teachers for Healthcare Skill Training

Yunfan Ren

University of Hong Kong (HKU)

LiDAR-Centric Aerial Robots: From Advanced Navigation to Swarm Intelligence

Vatsal V. Patel

Yale University, USA

Mechanical Intelligence That Simplifies, Informs, and Integrates With Control for Robot Manipulation

Alberta Longhini

KTH Royal Institute of Technology, Sweden

Towards Versatile Manipulation of Deformable Objects

Julia Di

Stanford, USA

Tactile Sensing for Extreme Environments

Fangqiang Ding

University of Edinburgh, UK

Robust Spatial Perception with 4D Radar for Mobile Autonomy

Daniel Honerkamp

University of Freiburg, Germany

Mobile Manipulation in Unexplored and Unstructured Environments

Cherie Ho

CMU, USA

Continually Learning Robots that Reason about Uncertainty and Consequence

Nathaniel Dennler

USC, USA

Expanding Robot Utility via User-Centered Adaptation

Mayank Mittal

ETH Zurich, Switzerland

Learning Whole-Body Loco-Manipulation Skills

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