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SafeDiffuser: Safe Planning with Diffusion Probabilistic Models

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models

International Conference on Learning Representations (ICLR), 2023
31 May 2023
Wei Xiao
Tsun-Hsuan Wang
Chuang Gan
Daniela Rus
    DiffM
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "SafeDiffuser: Safe Planning with Diffusion Probabilistic Models"

37 / 37 papers shown
Title
HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization
HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization
Zeyang Li
Kaveh Alim
Navid Azizan
312
0
0
11 Nov 2025
From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
Ralf Romer
Julian Balletshofer
Jakob Thumm
Marco Pavone
Angela P. Schoellig
Matthias Althoff
126
0
0
09 Nov 2025
SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
T. Huang
Armin Lederer
Dai-Jie Wu
X. Dai
Sihua Zhang
Stefan Sosnowski
Shao-Hua Sun
Sandra Hirche
137
0
0
07 Nov 2025
EB-MBD: Emerging-Barrier Model-Based Diffusion for Safe Trajectory Optimization in Highly Constrained Environments
EB-MBD: Emerging-Barrier Model-Based Diffusion for Safe Trajectory Optimization in Highly Constrained Environments
Raghav Mishra
Ian R. Manchester
100
0
0
09 Oct 2025
PAD-TRO: Projection-Augmented Diffusion for Direct Trajectory Optimization
PAD-TRO: Projection-Augmented Diffusion for Direct Trajectory Optimization
Jushan Chen
Santiago Paternain
149
0
0
06 Oct 2025
Hierarchical Diffusion Motion Planning with Task-Conditioned Uncertainty-Aware Priors
Hierarchical Diffusion Motion Planning with Task-Conditioned Uncertainty-Aware Priors
Amelie Minji Kim
Anqi Wu
Ye Zhao
DiffM
104
0
0
30 Sep 2025
SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions
SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions
Jeongyong Yang
Seunghwan Jang
Soojean Han
127
0
0
29 Sep 2025
Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization
Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization
Devesh Nath
Haoran Yin
Glen Chou
105
0
0
24 Sep 2025
VH-Diffuser: Variable Horizon Diffusion Planner for Time-Aware Goal-Conditioned Trajectory Planning
VH-Diffuser: Variable Horizon Diffusion Planner for Time-Aware Goal-Conditioned Trajectory Planning
Ruijia Liu
Ancheng Hou
Shaoyuan Li
Xiang Yin
117
1
0
15 Sep 2025
Joint Model-based Model-free Diffusion for Planning with Constraints
Joint Model-based Model-free Diffusion for Planning with Constraints
Wonsuhk Jung
Utkarsh Aashu Mishra
Nadun Ranawaka Arachchige
Yongxin Chen
Danfei Xu
Shreyas Kousik
DiffM
232
1
0
10 Sep 2025
Unified Generation-Refinement Planning: Bridging Guided Flow Matching and Sampling-Based MPC for Social Navigation
Unified Generation-Refinement Planning: Bridging Guided Flow Matching and Sampling-Based MPC for Social Navigation
Kazuki Mizuta
Karen Leung
149
0
0
02 Aug 2025
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
Yiqi Tian
Pengfei Jin
Mingze Yuan
Na Li
Bo Zeng
Shijie Zhao
DiffM
115
0
0
16 Jul 2025
DiffusionRL: Efficient Training of Diffusion Policies for Robotic Grasping Using RL-Adapted Large-Scale Datasets
DiffusionRL: Efficient Training of Diffusion Policies for Robotic Grasping Using RL-Adapted Large-Scale Datasets
Maria Makarova
Qian Liu
Dzmitry Tsetserukou
172
1
0
24 May 2025
Generative AI for Autonomous Driving: A Review
Generative AI for Autonomous Driving: A Review
Katharina Winter
Abhishek Vivekanandan
Rupert Polley
Yinzhe Shen
Christian Schlauch
...
J. Dietrich
Omer Sahin Tas
Nadja Klein
Fabian B. Flohr
Hanno Gottschalk
390
3
0
21 May 2025
Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing
Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing
Hao Ma
Sabrina Bodmer
Andrea Carron
Melanie Zeilinger
Michael Muehlebach
202
2
0
19 May 2025
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion PredictionsIEEE International Conference on Robotics and Automation (ICRA), 2025
Albert Zhao
Stefano Soatto
DiffM
404
0
0
18 May 2025
CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks
CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks
Ce Hao
Anxing Xiao
Zhiwei Xue
Harold Soh
451
4
0
12 May 2025
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
Tan Shu
Li Shen
259
13
0
04 Apr 2025
What Makes a Good Diffusion Planner for Decision Making?International Conference on Learning Representations (ICLR), 2025
Haofei Lu
Dongqi Han
Yifei Shen
Dongsheng Li
DiffM
334
24
0
01 Mar 2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
Jean-Baptiste Bouvier
Kanghyun Ryu
Kartik Nagpal
Qiayuan Liao
Koushil Sreenath
Negar Mehr
377
11
0
20 Feb 2025
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay
Feng Chen
Fuguang Han
Cong Guan
Lei Yuan
Zhilong Zhang
Yang Yu
Zongzhang Zhang
284
3
0
16 Nov 2024
Denoising Diffusion Planner: Learning Complex Paths from Low-Quality
  Demonstrations
Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations
Michiel Nikken
N. Botteghi
Wesley Roozing
Federico Califano
DiffM
316
1
0
28 Oct 2024
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
RAIL: Reachability-Aided Imitation Learning for Safe Policy ExecutionIEEE International Conference on Robotics and Automation (ICRA), 2024
Wonsuhk Jung
Dennis Anthony
Utkarsh Aashu Mishra
Nadun Ranawaka Arachchige
Matthew Bronars
Danfei Xu
Shreyas Kousik
249
2
0
28 Sep 2024
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning
  with Diffusion
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
Vineet Punyamoorty
Pascal Jutras-Dubé
Ruqi Zhang
Vaneet Aggarwal
Damon Conover
Aniket Bera
253
1
0
25 Sep 2024
Diffusion Model for Planning: A Systematic Literature Review
Diffusion Model for Planning: A Systematic Literature Review
Toshihide Ubukata
Jialong Li
Kenji Tei
DiffMMedIm
262
17
0
16 Aug 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement
  Learning
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yi-Fan Yao
Zhepeng Cen
Wenhao Ding
Hao-ming Lin
Shiqi Liu
Tingnan Zhang
Wenhao Yu
Ding Zhao
OffRLOnRL
236
8
0
19 Jul 2024
BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen
  terrains
BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen terrains
Gvs Mothish
Manan Tayal
Shishir Kolathaya
195
8
0
07 Jul 2024
CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic
  Environments Using Control Barrier and Lyapunov Functions
CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic Environments Using Control Barrier and Lyapunov FunctionsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Kazuki Mizuta
Karen Leung
266
23
0
08 Jun 2024
Learning from Random Demonstrations: Offline Reinforcement Learning with
  Importance-Sampled Diffusion Models
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models
Zeyu Fang
Tian Lan
OffRL
332
6
0
30 May 2024
Model-Based Diffusion for Trajectory Optimization
Model-Based Diffusion for Trajectory Optimization
Chaoyi Pan
Zeji Yi
Guanya Shi
Guannan Qu
229
31
0
28 May 2024
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe
  Diffusion-based Planning
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning
Zeyu Feng
Hao Luan
Pranav Goyal
Harold Soh
272
11
0
07 May 2024
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
Kota Kondo
Andrea Tagliabue
Xiaoyi Cai
Claudius T. Tewari
Olivia Garcia
Marcos Espitia-Alvarez
Jonathan P. How
240
20
0
02 May 2024
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from
  Offline Datasets
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets
Xiaoyu Huang
Yufeng Chi
Ruofeng Wang
Zhongyu Li
Xue Bin Peng
Sophia Shao
Borivoje Nikolic
Koushil Sreenath
OffRL
249
54
0
30 Apr 2024
Diffusion Models for Reinforcement Learning: A Survey
Diffusion Models for Reinforcement Learning: A Survey
Zhengbang Zhu
Hanye Zhao
Haoran He
Yichao Zhong
Shenyu Zhang
Haoquan Guo
Tingting Chen
Weinan Zhang
563
92
0
02 Nov 2023
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good
  States
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good StatesConference on Robot Learning (CoRL), 2023
Zidan Wang
Takeru Oba
Takuma Yoneda
Rui Shen
Matthew R. Walter
Bradly C. Stadie
DiffM
244
14
0
21 Oct 2023
Denoising Heat-inspired Diffusion with Insulators for Collision Free
  Motion Planning
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning
Junwoo Chang
Hyunwoo Ryu
Jiwoo Kim
Soochul Yoo
Jongeun Choi
Joohwan Seo
N. Prakash
R. Horowitz
DiffMAI4CE
289
8
0
19 Oct 2023
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
James Ferlez
Mahmoud M. Elnaggar
Yasser Shoukry
C. Fleming
AAML
288
36
0
16 Jun 2020
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