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Motion Planning

302 directly classified papers

Papers per year

Papers

Differentiable Fluids with Solid Coupling for Learning and Control AAAI 2021
Automatic Generation of Flexible Plans via Diverse Temporal Planning AAAI 2021
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies RSS 2021
Generalized Comprehensive Motion Theory for High-Order Differential Dynamics RSS 2021
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation RSS 2021
Safe Pontryagin Differentiable Programming NIPS 2021
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances AAAI 2021
Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric L4DC 2021
Hierarchical Reinforcement Learning with Timed Subgoals NIPS 2021
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map CVPR 2021
Physics-penalised Regularisation for Learning Dynamics Models with Contact L4DC 2021
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces CVPR 2021
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system L4DC 2021
Physics-Based Human Motion Estimation and Synthesis From Videos ICCV 2021
When to stop value iteration: stability and near-optimality versus computation L4DC 2021
TARE: A Hierarchical Framework for Efficiently Exploring Complex 3D Environments RSS 2021
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning IJCAI 2021
NeuralExplorer: State Space Exploration of Closed Loop Control Systems Using Neural Networks L4DC 2020
Learning a Decentralized Multi-Arm Motion Planner CORL 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CORL 2020
Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach L4DC 2020
Automated Synthesis of Modular Manipulators’ Structure and Control for Continuous Tasks around Obstacles RSS 2020
Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty L4DC 2020
Learning to Correspond Dynamical Systems L4DC 2020