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Riemannian Motion Policies
v1v2v3 (latest)

Riemannian Motion Policies

9 January 2018
Nathan D. Ratliff
J. Issac
Daniel Kappler
Stan Birchfield
Dieter Fox
ArXiv (abs)PDFHTML

Papers citing "Riemannian Motion Policies"

50 / 60 papers shown
Title
RoboTwin: A Robotic Teleoperation Framework Using Digital Twins
RoboTwin: A Robotic Teleoperation Framework Using Digital Twins
Harsha Yelchuri
Diwakar Kumar Singh
Nithish Krishnabharathi Gnani
T. V. Prabhakar
Chandramani Singh
39
0
0
01 Jun 2025
EL-AGHF: Extended Lagrangian Affine Geometric Heat Flow
EL-AGHF: Extended Lagrangian Affine Geometric Heat Flow
Sangmin Kim
Hae-Won Park
38
0
0
30 May 2025
Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
Dongzhe Zheng
Wenjie Mei
AI4CE
35
1
0
26 May 2025
From Single Images to Motion Policies via Video-Generation Environment Representations
From Single Images to Motion Policies via Video-Generation Environment Representations
Weiming Zhi
Ziyong Ma
Tianyi Zhang
Matthew Johnson-Roberson
VGen3DV
115
0
0
25 May 2025
DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies
DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies
Tony Tao
Mohan Kumar Srirama
Jason Jingzhou Liu
Kenneth Shaw
Deepak Pathak
83
2
0
12 May 2025
DiffOG: Differentiable Policy Trajectory Optimization with Generalizability
DiffOG: Differentiable Policy Trajectory Optimization with Generalizability
Zhengtong Xu
Zichen Miao
Qiang Qiu
Zhe Zhang
Yu She
168
0
0
18 Apr 2025
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning
Jason Jingzhou Liu
Yulong Li
Kenneth Shaw
Tony Tao
Ruslan Salakhutdinov
Deepak Pathak
OffRL
159
2
0
24 Feb 2025
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
Lukas Brunke
Yanni Zhang
Ralf Romer
Jack Naimer
Nikola Staykov
Siqi Zhou
Angela P. Schoellig
120
5
0
19 Oct 2024
Obstacle-Avoidant Leader Following with a Quadruped Robot
Obstacle-Avoidant Leader Following with a Quadruped Robot
Carmen Scheidemann
Lennart Werner
Victor Reijgwart
Andrei Cramariuc
Joris Chomarat
Jia-Ruei Chiu
Roland Siegwart
Marco Hutter
75
2
0
01 Oct 2024
Learning Dynamical Systems Encoding Non-Linearity within Space Curvature
Learning Dynamical Systems Encoding Non-Linearity within Space Curvature
Bernardo Fichera
A. Billard
AI4CE
28
4
0
18 Mar 2024
Stable Modular Control via Contraction Theory for Reinforcement Learning
Stable Modular Control via Contraction Theory for Reinforcement Learning
Bing Song
Jean-Jacques E. Slotine
Quang Pham
100
2
0
07 Nov 2023
Triple Regression for Camera Agnostic Sim2Real Robot Grasping and
  Manipulation Tasks
Triple Regression for Camera Agnostic Sim2Real Robot Grasping and Manipulation Tasks
Yuanhong Zeng
Yizhou Zhao
Ying Nian Wu
76
0
0
16 Sep 2023
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with
  Language Models
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Wenlong Huang
Chen Wang
Ruohan Zhang
Yunzhu Li
Jiajun Wu
Li Fei-Fei
LM&Ro
132
518
0
12 Jul 2023
Autotuning Symbolic Optimization Fabrics for Trajectory Generation
Autotuning Symbolic Optimization Fabrics for Trajectory Generation
Max Spahn
Javier Alonso-Mora
85
2
0
14 Feb 2023
Obstacle avoidance using raycasting and Riemannian Motion Policies at
  kHz rates for MAVs
Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs
Michael Pantic
Isar Meijer
Rik Bähnemann
Nikhilesh Alatur
Olov Andersson
C. C. Lerma
Roland Siegwart
Lionel Ott
61
14
0
19 Jan 2023
A Constrained-Optimization Approach to the Execution of Prioritized
  Stacks of Learned Multi-Robot Tasks
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks
Gennaro Notomista
64
2
0
13 Jan 2023
Hierarchical Policy Blending As Optimal Transport
Hierarchical Policy Blending As Optimal Transport
An T. Le
Kay Hansel
Jan Peters
Georgia Chalvatzaki
OT
108
7
0
04 Dec 2022
MPC Builder for Autonomous Drive: Automatic Generation of MPCs for
  Motion Planning and Control
MPC Builder for Autonomous Drive: Automatic Generation of MPCs for Motion Planning and Control
Kohei Honda
H. Okuda
Tatsuya Suzuki
A. Ito
69
4
0
29 Oct 2022
Motion Policy Networks
Motion Policy Networks
Adam Fishman
Adithya Murali
Clemens Eppner
Bryan N. Peele
Byron Boots
Dieter Fox
121
58
0
21 Oct 2022
Hierarchical Policy Blending as Inference for Reactive Robot Control
Hierarchical Policy Blending as Inference for Reactive Robot Control
Kay Hansel
Julen Urain
Jan Peters
Georgia Chalvatzaki
96
16
0
14 Oct 2022
Local Planner Bench: Benchmarking for Local Motion Planning
Local Planner Bench: Benchmarking for Local Motion Planning
Max Spahn
C. Salmi
Javier Alonso-Mora
71
3
0
12 Oct 2022
Riemannian geometry as a unifying theory for robot motion learning and
  control
Riemannian geometry as a unifying theory for robot motion learning and control
Noémie Jaquier
Tamim Asfour
AI4CE
60
7
0
30 Sep 2022
Learning Stable Robotic Skills on Riemannian Manifolds
Learning Stable Robotic Skills on Riemannian Manifolds
Matteo Saveriano
Fares J. Abu-Dakka
Ville Kyrki
50
17
0
28 Aug 2022
Dynamic Optimization Fabrics for Motion Generation
Dynamic Optimization Fabrics for Motion Generation
Max Spahn
M. Wisse
Javier Alonso-Mora
86
10
0
17 May 2022
FC$^3$: Feasibility-Based Control Chain Coordination
FC3^33: Feasibility-Based Control Chain Coordination
Jason Harris
Danny Driess
Marc Toussaint
44
4
0
09 May 2022
Sampling-free obstacle gradients and reactive planning in Neural
  Radiance Fields (NeRF)
Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF)
Michael Pantic
Cesar Cadena
Roland Siegwart
Lionel Ott
85
18
0
03 May 2022
An Efficient Locally Reactive Controller for Safe Navigation in Visual
  Teach and Repeat Missions
An Efficient Locally Reactive Controller for Safe Navigation in Visual Teach and Repeat Missions
Matías Mattamala
Nived Chebrolu
Maurice F. Fallon
96
25
0
11 Jan 2022
Assistive Tele-op: Leveraging Transformers to Collect Robotic Task
  Demonstrations
Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations
Henry M. Clever
Ankur Handa
H. Mazhar
Kevin Parker
Omer Shapira
Qian Wan
Yashraj S. Narang
Iretiayo Akinola
Maya Cakmak
Dieter Fox
78
18
0
09 Dec 2021
Differentiable Spatial Planning using Transformers
Differentiable Spatial Planning using Transformers
Devendra Singh Chaplot
Deepak Pathak
Jitendra Malik
136
40
0
02 Dec 2021
RMPs for Safe Impedance Control in Contact-Rich Manipulation
RMPs for Safe Impedance Control in Contact-Rich Manipulation
S. Shaw
Ben Abbatematteo
George Konidaris
76
13
0
24 Sep 2021
A Holistic Approach to Reactive Mobile Manipulation
A Holistic Approach to Reactive Mobile Manipulation
Jesse Haviland
Niko Sünderhauf
Peter Corke
103
58
0
10 Sep 2021
Hierarchical Neural Dynamic Policies
Hierarchical Neural Dynamic Policies
Shikhar Bahl
Abhinav Gupta
Deepak Pathak
BDL
89
28
0
12 Jul 2021
Composable Energy Policies for Reactive Motion Generation and
  Reinforcement Learning
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
Julen Urain
Anqi Li
Puze Liu
Carlo DÉramo
Jan Peters
91
26
0
11 May 2021
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive
  Control for Reactive Manipulation
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
M. Bhardwaj
Balakumar Sundaralingam
Arsalan Mousavian
Nathan D. Ratliff
Dieter Fox
Fabio Ramos
Byron Boots
80
113
0
28 Apr 2021
Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro
  Aerial Vehicles
Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles
Michael Pantic
Lionel Ott
Cesar Cadena
Roland Siegwart
Juan I. Nieto
52
13
0
20 Feb 2021
Composable Geometric Motion Policies using Multi-Task Pullback Bundle
  Dynamical Systems
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems
Andrew Bylard
Riccardo Bonalli
Marco Pavone
52
13
0
05 Jan 2021
Neural Dynamic Policies for End-to-End Sensorimotor Learning
Neural Dynamic Policies for End-to-End Sensorimotor Learning
Shikhar Bahl
Mustafa Mukadam
Abhinav Gupta
Deepak Pathak
77
86
0
04 Dec 2020
Joint Space Control via Deep Reinforcement Learning
Joint Space Control via Deep Reinforcement Learning
Visak C. V. Kumar
David Hoeller
Balakumar Sundaralingam
Jonathan Tremblay
Stan Birchfield
DRL
85
16
0
12 Nov 2020
Geometric Fabrics for the Acceleration-based Design of Robotic Motion
Geometric Fabrics for the Acceleration-based Design of Robotic Motion
Mandy Xie
Karl Van Wyk
Anqi Li
M. A. Rana
Qian Wan
Dieter Fox
Byron Boots
Nathan D. Ratliff
AI4CE
58
22
0
28 Oct 2020
Optimization Fabrics for Behavioral Design
Optimization Fabrics for Behavioral Design
Nathan D. Ratliff
Karl Van Wyk
Mandy Xie
Anqi Li
M. A. Rana
AI4CE
57
5
0
28 Oct 2020
Generalized Nonlinear and Finsler Geometry for Robotics
Generalized Nonlinear and Finsler Geometry for Robotics
Nathan D. Ratliff
Karl Van Wyk
Mandy Xie
Anqi Li
M. A. Rana
AI4CE
79
28
0
28 Oct 2020
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB
  Camera
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
Jonathan Tremblay
Stephen Tyree
Terry Mosier
Stan Birchfield
85
23
0
26 Aug 2020
Learning Stability Certificates from Data
Learning Stability Certificates from Data
Nicholas M. Boffi
Stephen Tu
Nikolai Matni
Jean-Jacques E. Slotine
Vikas Sindhwani
81
97
0
13 Aug 2020
Optimization Fabrics
Optimization Fabrics
Nathan D. Ratliff
Karl Van Wyk
Mandy Xie
Anqi Li
M. A. Rana
AI4CE
52
13
0
05 Aug 2020
RMPflow: A Geometric Framework for Generation of Multi-Task Motion
  Policies
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
Ching-An Cheng
Mustafa Mukadam
J. Issac
Stan Birchfield
Dieter Fox
Byron Boots
Nathan D. Ratliff
45
34
0
25 Jul 2020
Supervised Learning and Reinforcement Learning of Feedback Models for
  Reactive Behaviors: Tactile Feedback Testbed
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed
Giovanni Sutanto
Katharina Rombach
Yevgen Chebotar
Zhe Su
S. Schaal
Gaurav Sukhatme
Franziska Meier
21
5
0
29 Jun 2020
Interpreting and Predicting Tactile Signals via a Physics-Based and
  Data-Driven Framework
Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework
Yashraj S. Narang
Karl Van Wyk
Arsalan Mousavian
Dieter Fox
50
30
0
06 Jun 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and
  Model-Based Strategies for Sample-Efficient Policy Learning
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning
Michelle A. Lee
Carlos Florensa
Jonathan Tremblay
Nathan D. Ratliff
Animesh Garg
Fabio Ramos
Dieter Fox
131
60
0
21 May 2020
Camera-to-Robot Pose Estimation from a Single Image
Camera-to-Robot Pose Estimation from a Single Image
Timothy E. Lee
Jonathan Tremblay
Thang To
Jia Cheng
Terry Mosier
Oliver Kroemer
Dieter Fox
Stan Birchfield
137
97
0
21 Nov 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Noémie Jaquier
Leonel Rozo
Sylvain Calinon
Mathias Bürger
75
54
0
11 Oct 2019
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