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An Efficient Reachability-Based Framework for Provably Safe Autonomous
  Navigation in Unknown Environments

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments

1 May 2019
Andrea V. Bajcsy
Somil Bansal
Eli Bronstein
Varun Tolani
Claire Tomlin
ArXivPDFHTML

Papers citing "An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments"

22 / 22 papers shown
Title
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
Milan Ganai
Rohan Sinha
Christopher Agia
Daniel Morton
Marco Pavone
OffRL
LRM
AI4CE
42
0
0
15 May 2025
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments
Kehan Long
Yinzhuang Yi
Zhirui Dai
Sylvia Herbert
Jorge Cortés
Nikolay Atanasov
146
4
0
28 May 2024
Online Reachability Analysis and Space Convexification for Autonomous
  Racing
Online Reachability Analysis and Space Convexification for Autonomous Racing
Sergiy Bogomolov
Taylor T. Johnson
Diego Manzanas Lopez
Patrick Musau
P. Stankaitis
19
1
0
16 Nov 2023
Learned Risk Metric Maps for Kinodynamic Systems
Learned Risk Metric Maps for Kinodynamic Systems
R. Allen
Wei Xiao
Daniela Rus
31
1
0
28 Feb 2023
Parameter-Conditioned Reachable Sets for Updating Safety Assurances
  Online
Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online
Javier Borquez
Kensuke Nakamura
Somil Bansal
27
14
0
29 Sep 2022
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic
  Semantic Segmentation
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation
Ralf Römer
Armin Lederer
Samuel Tesfazgi
Sandra Hirche
29
2
0
14 Sep 2022
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection
  Safety Evaluation
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation
Sever Topan
Karen Leung
Yuxiao Chen
Pritish Tupekar
Edward Schmerling
Jonas Nilsson
Michael Cox
Marco Pavone
46
20
0
24 Jun 2022
PiP-X: Online feedback motion planning/replanning in dynamic
  environments using invariant funnels
PiP-X: Online feedback motion planning/replanning in dynamic environments using invariant funnels
M. K. M. Jaffar
Michael W. Otte
37
8
0
01 Feb 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and
  Generalization Guarantees
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Kai Hsu
Allen Z. Ren
D. Nguyen
Anirudha Majumdar
J. F. Fisac
OffRL
26
41
0
20 Jan 2022
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
41
93
0
14 Sep 2021
EPSILON: An Efficient Planning System for Automated Vehicles in Highly
  Interactive Environments
EPSILON: An Efficient Planning System for Automated Vehicles in Highly Interactive Environments
Wenchao Ding
Lu Zhang
Jing Chen
Shaojie Shen
29
72
0
18 Aug 2021
Active Safety Envelopes using Light Curtains with Probabilistic
  Guarantees
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
Siddharth Ancha Gaurav Pathak
Gaurav Pathak
S. Narasimhan
David Held
41
5
0
08 Jul 2021
Failing with Grace: Learning Neural Network Controllers that are
  Boundedly Unsafe
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe
Panagiotis Vlantis
Leila J. Bridgeman
Michael M. Zavlanos
40
0
0
22 Jun 2021
FaSTrack: a Modular Framework for Real-Time Motion Planning and
  Guaranteed Safe Tracking
FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking
Mo Chen
Sylvia Herbert
Haimin Hu
Ye Pu
J. F. Fisac
Somil Bansal
Soojean Han
Claire Tomlin
26
62
0
14 Feb 2021
Leveraging Neural Network Gradients within Trajectory Optimization for
  Proactive Human-Robot Interactions
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions
Simon Schaefer
Karen Leung
Boris Ivanovic
Marco Pavone
27
25
0
02 Dec 2020
DeepReach: A Deep Learning Approach to High-Dimensional Reachability
DeepReach: A Deep Learning Approach to High-Dimensional Reachability
Somil Bansal
Claire Tomlin
23
153
0
04 Nov 2020
Adversarial Attacks on Optimization based Planners
Adversarial Attacks on Optimization based Planners
Sai H. Vemprala
Ashish Kapoor
AAML
36
12
0
30 Oct 2020
Sampling-based Reachability Analysis: A Random Set Theory Approach with
  Adversarial Sampling
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling
T. Lew
Marco Pavone
AAML
30
53
0
24 Aug 2020
Safety Considerations in Deep Control Policies with Safety Barrier
  Certificates Under Uncertainty
Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty
Tom Hirshberg
Sai H. Vemprala
Ashish Kapoor
31
3
0
22 Jan 2020
Online monitoring for safe pedestrian-vehicle interactions
Online monitoring for safe pedestrian-vehicle interactions
Peter Du
Zhe Huang
Tianqi Liu
Ke Xu
Qichao Gao
Hussein Sibai
Katherine Driggs-Campbell
Sayan Mitra
18
26
0
12 Oct 2019
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
115
876
0
03 Feb 2017
Safe Exploration in Markov Decision Processes
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
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