Michael Everett

収録論文 36本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• SCRAMPPI: Efficient Contingency Planning for Mobile Robot Navigation via Hamilton-Jacobi Reachability
  2026/3/1
• Sparse Variable Projection in Robotic Perception: Exploiting Separable Structure for Efficient Nonlinear Optimization
  2025/12/1
• Practical and Performant Enhancements for Maximization of Algebraic Connectivity
  2025/11/1
• Approximating Safety Feedback Without a Safety Oracle via Model Predictive Control
  2025/10/1
• Uncertainty-Aware Ankle Exoskeleton Control
  2025/8/1
• Real-Time Adaptive Motion Planning via Point Cloud-Guided, Energy-Based Diffusion and Potential Fields
  2025/7/1
• Verification of Visual Controllers via Compositional Geometric Transformations
  2025/7/1
• Learning Smooth State-Dependent Traversability from Dense Point Clouds
  2025/6/1
• Contingency Constrained Planning with MPPI within MPPI
  2024/12/1
• Chance-Constrained Convex MPC for Robust Quadruped Locomotion Under Parametric and Additive Uncertainties
  2024/11/1
• LiDAR Inertial Odometry And Mapping Using Learned Registration-Relevant Features
  2024/10/1
• Continuously Optimizing Radar Placement with Model Predictive Path Integrals
  2024/5/1
• Collision Avoidance Verification of Multiagent Systems with Learned Policies
  2024/3/1
• EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
  2023/11/1
• Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
  2023/6/1
• Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments
  2022/10/1
• RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation
  2022/10/1
• A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops
  2022/10/1
• Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems
  2022/9/1
• Backward Reachability Analysis for Neural Feedback Loops
  2022/4/1
• Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map
  2022/3/1
• Neural Network Verification in Control
  2021/10/1
• Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC
  2021/9/1
• Reachability Analysis of Neural Feedback Loops
  2021/8/1
• Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians
  2021/2/1
• Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers
  2021/1/1
• Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
  2020/1/1
• FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments
  2020/1/1
• Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning
  2019/10/1
• Certified Adversarial Robustness for Deep Reinforcement Learning
  2019/10/1
• Planning Beyond the Sensing Horizon Using a Learned Context
  2019/8/1
• Safe Reinforcement Learning with Model Uncertainty Estimates
  2018/10/1
• Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
  2018/5/1
• Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces
  2017/3/1
• Socially Aware Motion Planning with Deep Reinforcement Learning
  2017/3/1
• Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations
  2017/3/1