About

Trajectory planning for industrial robots consists of moving the tool center point from point A to point B while avoiding body collisions over time. Trajectory planning is sometimes referred to as motion planning and erroneously as path planning. Trajectory planning is distinct from path planning in that it is parametrized by time. Essentially trajectory planning encompasses path planning in addition to planning how to move based on velocity, time, and kinematics.

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Greatest papers with code

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments

9 Jan 2020mit-acl/faster

The standard approach to ensure safety is to enforce a "stop" condition in the free-known space.

MOTION PLANNING TRAJECTORY PLANNING

UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

1 Jul 2020hbayerlein/uav_data_harvesting

Autonomous deployment of unmanned aerial vehicles (UAVs) supporting next-generation communication networks requires efficient trajectory planning methods.

TRAJECTORY PLANNING

Visibility-aware Trajectory Optimization with Application to Aerial Tracking

11 Mar 2021ZJU-FAST-Lab/visPlanner

The visibility of targets determines performance and even success rate of various applications, such as active slam, exploration, and target tracking.

TRAJECTORY PLANNING ROBOTICS

Artificial Intelligence Control in 4D Cylindrical Space for Industrial Robotic Applications

23 Sep 2020andreadegiorgio/cylindrical-astar

Since path optimization is the core of any search algorithms, including A*, the 4D cylindrical grid provides for a search space that can embed further knowledge in form of cell properties, including the presence of obstacles and volumetric occupancy of the entire industrial robot body for obstacle avoidance applications.

MOTION PLANNING TRAJECTORY PLANNING

Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions

19 Aug 2020LorenzoFederici/RobustTrajectoryDesignbyRL

This paper investigates the use of Reinforcement Learning for the robust design of low-thrust interplanetary trajectories in presence of severe disturbances, modeled alternatively as Gaussian additive process noise, observation noise, control actuation errors on thrust magnitude and direction, and possibly multiple missed thrust events.

ROBUST DESIGN STOCHASTIC OPTIMIZATION TRAJECTORY PLANNING

Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots

8 Sep 2014kylevedder/Push-and-Rotate

In this paper we a) propose a revised version of prioritized planning and characterize the class of instances that are provably solvable by the algorithm and b) propose an asynchronous decentralized variant of prioritized planning, which maintains the desirable properties of the centralized version and in the same time exploits the distributed computational power of the individual robots, which in most situations allows to find the joint trajectories faster.

TRAJECTORY PLANNING