Qi Zhu
Northwestern University
収録論文 24本 ・ フィジカルAI/ロボット学習
安全性評価/操作操作学習
※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
- MANIGUARD: 仕様に基づく安全性評価とロボット操作改善のためのベンチマークとデータセット安全性評価/操作2026/8/18
ロボット操作の基盤モデルの安全性を評価・改善するための、仕様に基づくフレームワークとベンチマーク、データセットを提案した論文。
- スキルは重みに、記憶はコードに:記憶依存ロボット操作のためのハイブリッド学習操作学習2026/8/10
長期的な記憶を必要とするロボット操作タスクに対し、低レベルスキルを模倣学習で、高レベルの記憶管理戦略をコーディングエージェントのヒューリスティック学習で獲得するハイブリッドフレームワークHyMeSを提案し、ベースラインを上回る性能を達成した。
- Skills in Weights, Memory in Code: Hybrid Learning for Memory-Dependent Robot Manipulation2026/8/1
- EmboAlign: Aligning Video Generation with Compositional Constraints for Zero-Shot Manipulation2026/3/1
- Advancing Off-Road Autonomous Driving: The Large-Scale ORAD-3D Dataset and Comprehensive Benchmarks2025/10/1
- Autonomous Driving in Unstructured Environments: How Far Have We Come?2024/10/1
- Case Study: Runtime Safety Verification of Neural Network Controlled System2024/8/1
- Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems2024/3/1
- Software Engineering for Robotics: Future Research Directions; Report from the 2023 Workshop on Software Engineering for Robotics2024/1/1
- Sensory Manipulation as a Countermeasure to Robot Teleoperation Delays: System and Evidence2023/10/1
- Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling2023/9/1
- Safety-Assured Speculative Planning with Adaptive Prediction2023/7/1
- Attrition-Aware Adaptation for Multi-Agent Patrolling2023/4/1
- Robot-Enabled Construction Assembly with Automated Sequence Planning based on ChatGPT: RoboGPT2023/4/1
- Interactive Trajectory Planner for Mandatory Lane Changing in Dense Non-Cooperative Traffic2023/3/1
- Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic2023/2/1
- Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction2022/5/1
- TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor2022/3/1
- Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding2022/3/1
- Safety-driven Interactive Planning for Neural Network-based Lane Changing2022/1/1
- Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner2022/1/1
- End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering2021/3/1
- Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities2021/3/1
- Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning2020/1/1