mlsanityData to 7 Oct 2026

Multi-Agent Reachability Calibration with Conformal Prediction

arXiv 2304.00432 ↗First posted 2 Apr 2023eess.SY cs.SYcited by 23

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Abstract (arXiv)

We investigate methods to provide safety assurances for autonomous agents that incorporate predictions of other, uncontrolled agents' behavior into their own trajectory planning. Given a learning-based forecasting model that predicts agents' trajectories, we introduce a method for providing probabilistic assurances on the model's prediction error with calibrated confidence intervals. Through quantile regression, conformal prediction, and reachability analysis, our method generates probabilistically safe and dynamically feasible prediction sets. We showcase their utility in certifying the safety of planning algorithms, both in simulations using actual autonomous driving data and in an experiment with Boeing vehicles.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Apr 2023.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 9; 2024: 6; 2025: 5; 2026: 3.

23 papers.

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  1. 2023Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictionscited by 46
  2. 2024Adaptive Bounding Box Uncertainties via Two-Step Conformal Predictioncited by 23
  3. 2023Conformal Temporal Logic Planning using Large Language Modelscited by 21
  4. 2023Distributionally Robust Statistical Verification with Imprecise Neural Networkscited by 12
  5. 2024Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedbackcited by 11
  6. 2023Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomycited by 9
  7. 2023How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomycited by 8
  8. 2023Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Datacited by 7
  9. 2026Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesiscited by 7
  10. 2023Max-Rank: Efficient Multiple Testing for Conformal Predictioncited by 6
  11. 2023Conformal Policy Learning for Sensorimotor Control Under Distribution Shiftscited by 5
  12. 2024Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guaranteescited by 4
11 more
  1. 2024Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actionscited by 4
  2. 2024Conformal Off-Policy Prediction for Multi-Agent Systemscited by 3
  3. 2025Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimizationcited by 3
  4. 2023Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guaranteescited by 2
  5. 2025Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilizationcited by 2
  6. 2025How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled Autonomycited by 1
  7. 2025Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learningcited by 1
  8. 2024Amelia: A Large Dataset and Benchmark for Airport Surface Movement Forecastingcited by 0
  9. 2025Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictionscited by 0
  10. 2026Conformal Reachability for Safe Control in Unknown Environmentscited by 0
  11. 2026Vision-Based Safe Human-Robot Collaboration with Uncertainty Guaranteescited by 0