Dieter Fox

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University of Washington ∙ Nvidia

Senior Director of Robotics Research at NVIDIA and Professor at University of Washington

DeepGMR: Learning Latent Gaussian Mixture Models for Registration

Point cloud registration is a fundamental problem in 3D computer vision,...
08/20/2020 ∙ by Wentao Yuan, et al. ∙ 49 ∙ share

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Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

Segmenting unseen objects in cluttered scenes is an important skill that...
07/30/2020 ∙ by Yu Xiang, et al. ∙ 12 ∙ share

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RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies

Generating robot motion for multiple tasks in dynamic environments is ch...
07/25/2020 ∙ by Ching-An Cheng, et al. ∙ 0 ∙ share

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Unseen Object Instance Segmentation for Robotic Environments

In order to function in unstructured environments, robots need the abili...
07/16/2020 ∙ by Christopher Xie, et al. ∙ 21 ∙ share

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Causal Discovery in Physical Systems from Videos

Causal discovery is at the core of human cognition. It enables us to rea...
07/01/2020 ∙ by Yunzhu Li, et al. ∙ 0 ∙ share

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Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework

High-density afferents in the human hand have long been regarded as esse...
06/06/2020 ∙ by Yashraj S. Narang, et al. ∙ 0 ∙ share

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Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control

This work addresses the problem of robot interaction in complex environm...
06/04/2020 ∙ by Ian Abraham, et al. ∙ 0 ∙ share

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Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems

Robotic tasks often require motions with complex geometric structures. W...
05/27/2020 ∙ by Muhammad Asif Rana, et al. ∙ 0 ∙ share

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Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning

Traditional robotic approaches rely on an accurate model of the environm...
05/21/2020 ∙ by Michelle A. Lee, et al. ∙ 33 ∙ share

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Inferring the Material Properties of Granular Media for Robotic Tasks

Granular media (e.g., cereal grains, plastic resin pellets, and pills) a...
03/18/2020 ∙ by Carolyn Matl, et al. ∙ 0 ∙ share

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Watching the World Go By: Representation Learning from Unlabeled Videos

Recent single image unsupervised representation learning techniques show...
03/18/2020 ∙ by Daniel Gordon, et al. ∙ 12 ∙ share

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Human Grasp Classification for Reactive Human-to-Robot Handovers

Transfer of objects between humans and robots is a critical capability f...
03/12/2020 ∙ by Wei Yang, et al. ∙ 7 ∙ share

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Transferable Task Execution from Pixels through Deep Planning Domain Learning

While robots can learn models to solve many manipulation tasks from raw ...
03/08/2020 ∙ by Kei Kase, et al. ∙ 0 ∙ share

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In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation

Tracking the pose of an object while it is being held and manipulated by...
02/27/2020 ∙ by Jacky Liang, et al. ∙ 0 ∙ share

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Information Theoretic Model Predictive Q-Learning

Model-free Reinforcement Learning (RL) algorithms work well in sequentia...
12/31/2019 ∙ by Mohak Bhardwaj, et al. ∙ 29 ∙ share

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A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set

Robot grasping is often formulated as a learning problem. With the incre...
12/11/2019 ∙ by Clemens Eppner, et al. ∙ 14 ∙ share

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6-DOF Grasping for Target-driven Object Manipulation in Clutter

Grasping in cluttered environments is a fundamental but challenging robo...
12/08/2019 ∙ by Adithyavairavan Murali, et al. ∙ 12 ∙ share

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ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

We present ALFRED (Action Learning From Realistic Environments and Direc...
12/03/2019 ∙ by Mohit Shridhar, et al. ∙ 5 ∙ share

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LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation

Current 6D object pose estimation methods usually require a 3D model for...
12/01/2019 ∙ by Keunhong Park, et al. ∙ 35 ∙ share

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Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection

In robot manipulation, planning the motion of a robot manipulator to gra...
11/22/2019 ∙ by Lirui Wang, et al. ∙ 0 ∙ share

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Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies

Using simulation to train robot manipulation policies holds the promise ...
11/21/2019 ∙ by Visak Kumar, et al. ∙ 0 ∙ share

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Camera-to-Robot Pose Estimation from a Single Image

We present an approach for estimating the pose of a camera with respect ...
11/21/2019 ∙ by Timothy E. Lee, et al. ∙ 0 ∙ share

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Motion Reasoning for Goal-Based Imitation Learning

We address goal-based imitation learning, where the aim is to output the...
11/13/2019 ∙ by De-An Huang, et al. ∙ 105 ∙ share

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IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data

Learning from offline task demonstrations is a problem of great interest...
11/13/2019 ∙ by Ajay Mandlekar, et al. ∙ 108 ∙ share

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Online Replanning in Belief Space for Partially Observable Task and Motion Problems

To solve multi-step manipulation tasks in the real world, an autonomous ...
11/11/2019 ∙ by Caelan Reed Garrett, et al. ∙ 9 ∙ share

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Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB

In this work, we bridge the gap between recent pose estimation and track...
10/30/2019 ∙ by Felix Leeb, et al. ∙ 2 ∙ share

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Conditional Driving from Natural Language Instructions

Widespread adoption of self-driving cars will depend not only on their s...
10/16/2019 ∙ by Junha Roh, et al. ∙ 18 ∙ share

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Trajectory Optimization for Coordinated Human-Robot Collaboration

Effective human-robot collaboration requires informed anticipation. The ...
10/10/2019 ∙ by Adam Fishman, et al. ∙ 0 ∙ share

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DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System

Teleoperation offers the possibility of imparting robotic systems with s...
10/07/2019 ∙ by Ankur Handa, et al. ∙ 20 ∙ share

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Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping

RMPflow is a recently proposed policy-fusion framework based on differen...
10/07/2019 ∙ by Mustafa Mukadam, et al. ∙ 9 ∙ share

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Scaling Local Control to Large-Scale Topological Navigation

Visual topological navigation has been revitalized recently thanks to th...
09/26/2019 ∙ by Xiangyun Meng, et al. ∙ 0 ∙ share

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Self-supervised 6D Object Pose Estimation for Robot Manipulation

To teach robots skills, it is crucial to obtain data with supervision. S...
09/23/2019 ∙ by Xinke Deng, et al. ∙ 0 ∙ share

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Representing Robot Task Plans as Robust Logical-Dynamical Systems

It is difficult to create robust, reusable, and reactive behaviors for r...
08/05/2019 ∙ by Chris Paxton, et al. ∙ 0 ∙ share

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Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks

Successfully tracking the human body is an important perceptual challeng...
08/05/2019 ∙ by Weilin Wan, et al. ∙ 10 ∙ share

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The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation

In order to function in unstructured environments, robots need the abili...
07/30/2019 ∙ by Christopher Xie, et al. ∙ 4 ∙ share

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BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators

We introduce BayesSim, a framework for robotics simulations allowing a f...
06/04/2019 ∙ by Fabio Ramos, et al. ∙ 0 ∙ share

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6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

Generating grasp poses is a crucial component for any robot object manip...
05/25/2019 ∙ by Arsalan Mousavian, et al. ∙ 0 ∙ share

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PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking

Tracking 6D poses of objects from videos provides rich information to a ...
05/22/2019 ∙ by Xinke Deng, et al. ∙ 8 ∙ share

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ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact

Grasping and manipulating objects is an important human skill. Since mos...
04/07/2019 ∙ by Samarth Brahmbhatt, et al. ∙ 0 ∙ share

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Neural Autonomous Navigation with Riemannian Motion Policy

End-to-end learning for autonomous navigation has received substantial a...
04/03/2019 ∙ by Xiangyun Meng, et al. ∙ 0 ∙ share

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Prospection: Interpretable Plans From Language By Predicting the Future

High-level human instructions often correspond to behaviors with multipl...
03/20/2019 ∙ by Chris Paxton, et al. ∙ 8 ∙ share

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Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing

To perform complex tasks, robots must be able to interact with and manip...
03/08/2019 ∙ by Alexander Lambert, et al. ∙ 0 ∙ share

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What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning

Long-term planning poses a major difficulty to many reinforcement learni...
01/06/2019 ∙ by Daniel Gordon, et al. ∙ 12 ∙ share

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Object Discovery in Videos as Foreground Motion Clustering

We consider the problem of providing dense segmentation masks for object...
12/06/2018 ∙ by Christopher Xie, et al. ∙ 0 ∙ share

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Early Fusion for Goal Directed Robotic Vision

Increasingly, perceptual systems are being codified as strict pipelines ...
11/21/2018 ∙ by Aaron Walsman, et al. ∙ 10 ∙ share

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RMPflow: A Computational Graph for Automatic Motion Policy Generation

We develop a novel policy synthesis algorithm, RMPflow, based on geometr...
11/16/2018 ∙ by Ching-An Cheng, et al. ∙ 0 ∙ share

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Learning Latent Space Dynamics for Tactile Servoing

In order to achieve a dexterous robotic manipulation, we need to equip o...
11/08/2018 ∙ by Giovanni Sutanto, et al. ∙ 0 ∙ share

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Robust Learning of Tactile Force Estimation through Robot Interaction

Current methods for estimating force from tactile sensor signals are eit...
10/15/2018 ∙ by Balakumar Sundaralingam, et al. ∙ 0 ∙ share

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GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Most Deep Reinforcement Learning (Deep RL) algorithms require a prohibit...
10/12/2018 ∙ by Jacky Liang, et al. ∙ 0 ∙ share

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Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience

We consider the problem of transferring policies to the real world by tr...
10/12/2018 ∙ by Yevgen Chebotar, et al. ∙ 0 ∙ share

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Dieter Fox

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