Publications | Research

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IROS

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IROS

2023

HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions

Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeff Smith, Stan Birchfield

IROS

VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning

Yu-Shun Hsiao, Siva Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Steve Keckler, Vijay Janapa Reddi

IROS

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility

Kai-Chieh Hsu, Karen Leung, Yuxiao Chen, Jaime Fernandez Fisac, Marco Pavone

IROS

2022

6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark

Stephen Tyree, Jonathan Tremblay, Stan Birchfield, et al.

IROS

2021

Joint Space Control via Deep Reinforcement Learning

Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield

IROS

Multi-View Fusion for Multi-Level Robotic Scene Understanding

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

IROS

2020

Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera

Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield

IROS

MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views

Ke Chen, Ryan, Nikolai, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, Joachim Pehserl

IROS

2017

Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness

Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield

IROS