Publications

Our publications provide insight into some of our leading-edge research.

Filters

Filters

Publication Year

Research Areas

Events

2023

A 0.190-pJ/bit 25.2-Gb/s/wire Inverter-Based AC-Coupled Transceiver for Short-Reach Die-to-Die Interfaces in 5-nm CMOS
Yoshinori Nishi, John W. Poulton, Xi Chen, Sanquan Song, Brian Zimmer, Walker Turner, Stephen Tell, Nikola Nedovic, John Wilson, William Dally, Tom Gray
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg, Shie Mannor, Gal Chechik, Eli Meirom
Deep Learning Approaches to Grasp Synthesis: A Review
Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition
Sever Topan, Yuxiao Chen, Ed Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone
23 DoF Grasping Policies from a Raw Point Cloud
Martin Matak, Karl Van Wyk, Tucker Hermans
Neuralangelo: High-Fidelity Neural Surface Reconstruction
Max Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin
The Best Inventions of 2023, TIME Magazine
Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers
Yixuan Huang, Adam Conkey, Tucker Hermans
DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
Fast Procedural Noise By Stochastic Sampling
Marcos Fajardo, Matt Pharr
Learning Autonomous Vehicle Safety Concepts from Demonstrations
Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone
Tree-structured Policy Planning with Learned Behavior Models
Yuxiao Chen, Peter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Sushant Veer, Karen Leung, Ryan Cosner, Yuxiao Chen, Marco Pavone
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models
Filippos Christianos, Peter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Gerry Che, Baishakhi Ray, Marco Pavone
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
Boris Ivanovic, James Harrison, Marco Pavone
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
ProgPrompt: Generating Situated Robot Task Plans Using Large Language Models
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
CuRobo: Parallelized Collision-Free Robot Motion Generation
Balakumar Sundaralingam, Siva Hari, Adam Fishman, Caelan Garrett, Karl Van Wyk, Valts Blukis, Alexander Millane, Helen Oleynikova, Ankur Handa, Fabio Ramos, Nathan Ratliff, Dieter Fox
Global and Reactive Motion Generation with Geometric Fabric Command Sequences
Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan Ratliff, Fabio Ramos
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation
Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets
Isabella Huang, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj Narang
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks
Iuri Frosio, Jan Kautz
Semantic Anomaly Detection with Large Language Models
Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa Nesnas, Marco Pavone
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, Charles Loop, Alexander Schwing, Stan Birchfield
Subpixel Deblurring of Anti-Aliased Raster Clip Art
Jinfan Yang, Nicholas Vining, Shakiba Kheradmand, Nathan Carr, Leonid Sigal, Alla Sheffer
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
Adithya Murali, Arsalan Mousavian, Clemens Eppner, Adam Fishman, Dieter Fox
Tight Bounding Boxes for Voxels and Bricks in a Signed Distance Field Ray Tracer
Herman Hansson-Söderlund, Tomas Akenine-Möller