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How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics
30 October 2017
Anirudha Majumdar
Marco Pavone
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Papers citing
"How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics"
50 / 108 papers shown
Title
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes
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Path Planning Using Wassertein Distributionally Robust Deep Q-learning
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44
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04 Nov 2022
RAP: Risk-Aware Prediction for Robust Planning
Haruki Nishimura
Jean Mercat
Blake Wulfe
R. McAllister
Adrien Gaidon
OOD
108
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04 Oct 2022
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments
Xiaoyi Cai
Michael Everett
Lakshay Sharma
Philip R. Osteen
Jonathan P. How
88
40
0
01 Oct 2022
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning
Yue Meng
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
54
5
0
16 Sep 2022
Model Predictive Robustness of Signal Temporal Logic Predicates
Yuan-Chuen Lin
Haoxuan Li
Matthias Althoff
AAML
61
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0
16 Sep 2022
Risk Verification of Stochastic Systems with Neural Network Controllers
Matthew Cleaveland
Lars Lindemann
Radoslav Ivanov
George Pappas
91
9
0
26 Aug 2022
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles
Patrick Musau
Nathaniel P. Hamilton
Diego Manzanas Lopez
Preston K. Robinette
Taylor T. Johnson
46
0
0
03 May 2022
Sample-Based Bounds for Coherent Risk Measures: Applications to Policy Synthesis and Verification
Prithvi Akella
Anushri Dixit
M. Ahmadi
J. W. Burdick
Aaron D. Ames
94
21
0
21 Apr 2022
Risk-Averse Receding Horizon Motion Planning for Obstacle Avoidance using Coherent Risk Measures
Anushri Dixit
M. Ahmadi
J. W. Burdick
88
14
0
20 Apr 2022
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu
E. Kampen
Guido de Croon
63
16
0
28 Mar 2022
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map
Xiaoyi Cai
Michael Everett
Jonathan R. Fink
Jonathan P. How
97
53
0
25 Mar 2022
Privacy-Preserving Reinforcement Learning Beyond Expectation
Arezoo Rajabi
Bhaskar Ramasubramanian
A. Maruf
Radha Poovendran
OffRL
48
2
0
18 Mar 2022
Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics
Philipp Stegmaier
Karl Kurzer
J. Marius Zöllner
101
1
0
09 Mar 2022
STOPS: Short-Term-based Volatility-controlled Policy Search and its Global Convergence
Liang Xu
Daoming Lyu
Yangchen Pan
Aiwen Jiang
Bo Liu
95
0
0
24 Jan 2022
Two steps to risk sensitivity
Christian Gagné
Peter Dayan
56
10
0
12 Nov 2021
Planning for Risk-Aversion and Expected Value in MDPs
Marc Rigter
Paul Duckworth
Bo Li
Shouhong Ding
55
11
0
25 Oct 2021
Risk-Aware Motion Planning in Partially Known Environments
Fernando S Barbosa
Bruno Lacerda
Paul Duckworth
Jana Tumova
Nick Hawes
147
26
0
23 Sep 2021
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control
Yuheng Wang
Margaret P. Chapman
105
36
0
18 Sep 2021
Risk-Averse Decision Making Under Uncertainty
M. Ahmadi
Ugo Rosolia
M. Ingham
R. Murray
Aaron D. Ames
90
7
0
09 Sep 2021
Learning Risk-aware Costmaps for Traversability in Challenging Environments
David D. Fan
Sharmita Dey
Ali-akbar Agha-mohammadi
Evangelos A. Theodorou
90
31
0
25 Jul 2021
Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty
Bo Fu
William Smith
Denise M. Rizzo
Matthew Castanier
Maani Ghaffari
Kira Barton
62
35
0
23 Jun 2021
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model
Arnav Choudhry
Brady G. Moon
Jay Patrikar
C. Samaras
Sebastian Scherer
62
24
0
31 May 2021
An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes
Giorgio Angelotti
Nicolas Drougard
Caroline Ponzoni Carvalho Chanel
OffRL
41
0
0
27 May 2021
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving
C. Hoel
Krister Wolff
L. Laine
UQCV
EDL
68
42
0
21 May 2021
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach
A. Hakobyan
Insoon Yang
167
25
0
03 May 2021
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments
Lifeng Zhou
Pratap Tokekar
107
44
0
02 May 2021
Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation
Jinyoung Choi
C. Dance
Jung-Eun Kim
Seulbin Hwang
Kyungsik Park
UQCV
58
26
0
07 Apr 2021
STL Robustness Risk over Discrete-Time Stochastic Processes
Lars Lindemann
Nikolai Matni
George J. Pappas
66
17
0
03 Apr 2021
Reinforcement Learning Beyond Expectation
Bhaskar Ramasubramanian
Luyao Niu
Andrew Clark
Radha Poovendran
32
6
0
29 Mar 2021
Risk-Averse Stochastic Shortest Path Planning
M. Ahmadi
Anushri Dixit
J. W. Burdick
Aaron D. Ames
93
12
0
26 Mar 2021
Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments
Johann Laconte
Elie Randriamiarintsoa
Abderrahim Kasmi
F. Pomerleau
R. Chapuis
C. Debain
R. Aufrère
57
5
0
08 Mar 2021
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation
David D. Fan
K. Otsu
Y. Kubo
Anushri Dixit
J. W. Burdick
Ali-Akbar Agha-Mohammadi
102
62
0
04 Mar 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu
Xinrun Wang
Runsheng Yu
Xu He
Rongpin Wang
Bo An
S. Obraztsova
Zinovi Rabinovich
85
51
0
16 Feb 2021
Fair Robust Assignment using Redundancy
Matthew Malencia
Vijay Kumar
George Pappas
Amanda Prorok
42
11
0
11 Feb 2021
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning
Julian Bernhard
Stefan Pollok
Alois Knoll
47
33
0
05 Feb 2021
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving
Julian Bernhard
Alois Knoll
156
8
0
05 Feb 2021
Safer Motion Planning of Steerable Needles via a Shaft-to-Tissue Force Model
Michael Bentley
Caleb D. Rucker
C. Reddy
Oren Salzman
Alan Kuntz
MedIm
60
4
0
06 Jan 2021
Constrained Risk-Averse Markov Decision Processes
M. Ahmadi
Ugo Rosolia
M. Ingham
R. Murray
Aaron D. Ames
163
28
0
04 Dec 2020
Risk-Sensitive Motion Planning using Entropic Value-at-Risk
Anushri Dixit
M. Ahmadi
J. W. Burdick
106
28
0
23 Nov 2020
A Novel Occupancy Mapping Framework for Risk-Aware Path Planning in Unstructured Environments
Johann Laconte
Abderrahim Kasmi
F. Pomerleau
R. Chapuis
L. Malaterre
C. Debain
R. Aufrère
34
6
0
16 Nov 2020
Risk-Averse Planning via CVaR Barrier Functions: Application to Bipedal Robot Locomotion
M. Ahmadi
Xiaobin Xiong
Aaron D. Ames
81
10
0
03 Nov 2020
Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem
R. Balasubramanian
Lifeng Zhou
Pratap Tokekar
P. B. Sujit
50
2
0
02 Nov 2020
RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch
Haruki Nishimura
Negar Mehr
Adrien Gaidon
Mac Schwager
107
13
0
16 Oct 2020
Risk-Aware Decision Making in Service Robots to Minimize Risk of Patient Falls in Hospitals
Roya Sabbagh Novin
A. Yazdani
A. Merryweather
Tucker Hermans
52
9
0
16 Oct 2020
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction
Haruki Nishimura
Boris Ivanovic
Adrien Gaidon
Marco Pavone
Mac Schwager
85
36
0
12 Sep 2020
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
Shangtong Zhang
Bo Liu
Shimon Whiteson
95
38
0
22 Apr 2020
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles
V. Sharma
Maymoonah Toubeh
Lifeng Zhou
Pratap Tokekar
87
20
0
25 Mar 2020
Risk-Aware Submodular Optimization for Multi-Robot Coordination
Lifeng Zhou
Pratap Tokekar
68
13
0
23 Mar 2020
Learning-based distributionally robust motion control with Gaussian processes
A. Hakobyan
Insoon Yang
144
10
0
05 Mar 2020
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