Browse > Robots > Motion Planning

Motion Planning

15 papers with code ยท Robots

State-of-the-art leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Latest papers without code

Flexible and Efficient Long-Range Planning Through Curious Exploration

ICLR 2020

In contrast, deep reinforcement learning (DRL) methods use flexible neural-network-based function approximators to discover policies that generalize naturally to unseen circumstances.

MOTION PLANNING

Graph-based motion planning networks

ICLR 2020

In this paper, we propose a general planning network, called Graph-based Motion Planning Networks (GrMPN), that will be able to i) learn and plan on general irregular graphs, hence ii) render existing planning network architectures special cases.

MOTION PLANNING

Neural Collision Clearance Estimator for Fast Robot Motion Planning

14 Oct 2019

To alleviate this bottleneck, we present a fast neural network collision checking heuristic, ClearanceNet, and incorporate it within a planning algorithm, ClearanceNet-RRT (CN-RRT).

MOTION PLANNING

Learned Critical Probabilistic Roadmaps for Robotic Motion Planning

8 Oct 2019

Critical PRMs are demonstrated to achieve up to three orders of magnitude improvement over uniform sampling, while preserving the guarantees and complexity of sampling-based motion planning.

MOTION PLANNING

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression

8 Oct 2019

The experimental results demonstrate that our proposed method can generate a bunch of human-like multi-vehicle interaction trajectories that can fit different road conditions remaining the key interaction patterns of agents in the provided scenarios, which is import to the development of autonomous vehicles.

AUTONOMOUS VEHICLES DECISION MAKING MOTION PLANNING

Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process

4 Oct 2019

Complex and skillful motions in actual assembly process are challenging for the robot to generate with existing motion planning approaches, because some key poses during the human assembly can be too skillful for the robot to realize automatically.

MOTION PLANNING

Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning

2 Oct 2019

DRM proposes a divide-and-conquer approach that distributively partitions the problem among K cliques of robots.

MOTION PLANNING

Longitudinal Motion Planning for Autonomous Vehicles and Its Impact on Congestion: A Survey

2 Oct 2019

This paper reviews machine learning methods for the motion planning of autonomous vehicles (AVs), with exclusive focus on the longitudinal behaviors and their impact on traffic congestion.

AUTONOMOUS VEHICLES MOTION PLANNING

End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning

30 Sep 2019

In this work, a novel, end-to-end motion planning method is proposed for quadrotor navigation in cluttered environments.

MOTION PLANNING