ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.00932
  4. Cited By
Learning Safe, Generalizable Perception-based Hybrid Control with
  Certificates

Learning Safe, Generalizable Perception-based Hybrid Control with Certificates

4 January 2022
Charles Dawson
Bethany Lowenkamp
D. Goff
Chuchu Fan
ArXivPDFHTML

Papers citing "Learning Safe, Generalizable Perception-based Hybrid Control with Certificates"

18 / 18 papers shown
Title
RNBF: Real-Time RGB-D Based Neural Barrier Functions for Safe Robotic Navigation
RNBF: Real-Time RGB-D Based Neural Barrier Functions for Safe Robotic Navigation
Satyajeet Das
Yifan Xue
Haoming Li
Nadia Figueroa
30
0
0
04 May 2025
Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis
Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis
Zeyuan Feng
Le Qiu
Somil Bansal
30
0
0
04 May 2025
Embedded Safe Reactive Navigation for Multirotors Systems using Control Barrier Functions
Embedded Safe Reactive Navigation for Multirotors Systems using Control Barrier Functions
Nazar Misyats
Marvin Harms
Morten Nissov
Martin Jacquet
Kostas Alexis
34
0
0
22 Apr 2025
T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain
Manas Gupta
Xuesu Xiao
59
0
0
08 Mar 2025
Logically Constrained Robotics Transformers for Enhanced
  Perception-Action Planning
Logically Constrained Robotics Transformers for Enhanced Perception-Action Planning
Parv Kapoor
Sai H. Vemprala
Ashish Kapoor
36
1
0
09 Aug 2024
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
134
4
0
28 May 2024
Efficient Motion Planning for Manipulators with Control Barrier
  Function-Induced Neural Controller
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller
Mingxin Yu
Chenning Yu
M.-Mahdi Naddaf-Sh
Devesh Upadhyay
Sicun Gao
Chuchu Fan
45
4
0
01 Apr 2024
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
Anushri Dixit
Zhiting Mei
Meghan Booker
Mariko Storey-Matsutani
Mariko Storey-Matsutani
Allen Z. Ren
Ola Shorinwa
Anirudha Majumdar
29
5
0
13 Mar 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
46
22
0
25 Jan 2024
State-Wise Safe Reinforcement Learning With Pixel Observations
State-Wise Safe Reinforcement Learning With Pixel Observations
S. Zhan
Yixuan Wang
Qingyuan Wu
Ruochen Jiao
Chao Huang
Qi Zhu
43
10
0
03 Nov 2023
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study
C. Păsăreanu
Ravi Mangal
D. Gopinath
Sinem Getir Yaman
Calum Imrie
R. Calinescu
Huafeng Yu
32
29
0
06 Feb 2023
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient
  Sensorimotor Policy Learning
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning
Andrea Tagliabue
Jonathan P. How
26
5
0
18 Oct 2022
Barrier functions enable safety-conscious force-feedback control
Barrier functions enable safety-conscious force-feedback control
Charles Dawson
A. Garrett
Falk Pollok
Yang Zhang
Chuchu Fan
16
2
0
25 Sep 2022
Enforcing safety for vision-based controllers via Control Barrier
  Functions and Neural Radiance Fields
Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields
Mukun Tong
Charles Dawson
Chuchu Fan
48
29
0
25 Sep 2022
Safe Output Feedback Motion Planning from Images via Learned Perception
  Modules and Contraction Theory
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory
Glen Chou
N. Ozay
Dmitry Berenson
19
22
0
14 Jun 2022
Refining Control Barrier Functions through Hamilton-Jacobi Reachability
Refining Control Barrier Functions through Hamilton-Jacobi Reachability
S. Tonkens
Sylvia L. Herbert
23
38
0
26 Apr 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov,
  Barrier, and Contraction methods
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods
Charles Dawson
Sicun Gao
Chuchu Fan
36
230
0
23 Feb 2022
Overcoming Exploration: Deep Reinforcement Learning for Continuous
  Control in Cluttered Environments from Temporal Logic Specifications
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications
Mingyu Cai
Erfan Aasi
C. Belta
C. Vasile
32
24
0
28 Jan 2022
1