ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.13475
  4. Cited By
Detecting and Mitigating System-Level Anomalies of Vision-Based
  Controllers
v1v2v3 (latest)

Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers

IEEE International Conference on Robotics and Automation (ICRA), 2023
23 September 2023
Aryaman Gupta
Kaustav Chakraborty
Somil Bansal
ArXiv (abs)PDFHTML

Papers citing "Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers"

5 / 5 papers shown
Title
From Perception Logs to Failure Modes: Language-Driven Semantic Clustering of Failures for Robot Safety
From Perception Logs to Failure Modes: Language-Driven Semantic Clustering of Failures for Robot Safety
Aryaman Gupta
Yusuf Umut Ciftci
Somil Bansal
124
1
0
06 Jun 2025
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
Marco Pavone
OffRLLRMAI4CE
395
2
0
15 May 2025
Enhancing Safety and Robustness of Vision-Based Controllers via
  Reachability Analysis
Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis
Kaustav Chakraborty
Aryaman Gupta
Somil Bansal
213
6
0
29 Oct 2024
System-Level Safety Monitoring and Recovery for Perception Failures in
  Autonomous Vehicles
System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous VehiclesIEEE International Conference on Robotics and Automation (ICRA), 2024
Kaustav Chakraborty
Zeyuan Feng
Sushant Veer
Apoorva Sharma
Boris Ivanovic
Marco Pavone
Somil Bansal
214
5
0
26 Sep 2024
RADIUM: Predicting and Repairing End-to-End Robot Failures using
  Gradient-Accelerated Sampling
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated SamplingIEEE Transactions on robotics (IEEE Trans. Robot.), 2024
Charles Dawson
Anjali Parashar
Chuchu Fan
141
0
0
04 Apr 2024
1