Eric Heiden | DeepAI

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Featured Co-authors

Dieter Fox
146 publications
Animesh Garg
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73 publications
Luca Carlone
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Gaurav S. Sukhatme
60 publications
Ali-akbar Agha-mohammadi
47 publications
Giovanni Beltrame
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Sven Koenig
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Karol Hausman
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Stefan Schaal
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Joseph J. Lim
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∙ 06/13/2023

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation

Multi-finger grasping relies on high quality training data, which is har...

0 Dylan Turpin, et al. ∙

∙ 08/25/2022

Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands

The study of hand-object interaction requires generating viable grasp po...

0 Dylan Turpin, et al. ∙

∙ 03/19/2022

DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting

Robotic cutting of soft materials is critical for applications such as f...

6 Eric Heiden, et al. ∙

∙ 09/18/2021

Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation

To accurately reproduce measurements from the real world, simulators nee...

0 Eric Heiden, et al. ∙

∙ 05/25/2021

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting

Robotic cutting of soft materials is critical for applications such as f...

0 Eric Heiden, et al. ∙

∙ 03/21/2021

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge

This paper presents and discusses algorithms, hardware, and software arc...

11 Ali Agha, et al. ∙

∙ 11/09/2020

NeuralSim: Augmenting Differentiable Simulators with Neural Networks

Differentiable simulators provide an avenue for closing the sim-to-real ...

0 Eric Heiden, et al. ∙

∙ 07/12/2020

Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap

We present a differentiable simulation architecture for articulated rigi...

0 Eric Heiden, et al. ∙

∙ 06/29/2020

Confidence-rich grid mapping

Representing the environment is a fundamental task in enabling robots to...

5 Ali-akbar Agha-mohammadi, et al. ∙

∙ 03/07/2020

Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots

Planning smooth and energy-efficient motions for wheeled mobile robots i...

8 Eric Heiden, et al. ∙

∙ 03/03/2020

LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments

Simultaneous Localization and Mapping (SLAM) in large-scale, unknown, an...

0 Kamak Ebadi, et al. ∙

∙ 01/22/2020

Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics

A key ingredient to achieving intelligent behavior is physical understan...

0 David Millard, et al. ∙

∙ 12/03/2019

Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking

Light Detection and Ranging (LIDAR) sensors play an important role in th...

0 Eric Heiden, et al. ∙

∙ 05/26/2019

Interactive Differentiable Simulation

Intelligent agents need a physical understanding of the world to predict...

0 Eric Heiden, et al. ∙

∙ 10/04/2018

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations

Simulation-to-real transfer is an important strategy for making reinforc...

8 Zhanpeng He, et al. ∙

∙ 09/29/2018

Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation

Recent advancements in machine learning research have given rise to recu...

0 Hejia Zhang, et al. ∙

∙ 09/26/2018

Scaling simulation-to-real transfer by learning composable robot skills

We present a novel solution to the problem of simulation-to-real transfe...

10 Ryan Julian, et al. ∙

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