Trajectory Planning

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.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 291–300 of 324 papers

Title	Date	Tasks	Status	Hype
Mixed Strategies for Robust Optimization of Unknown Objectives	Feb 28, 2020	Autonomous VehiclesGaussian Processes	—Unverified	0
Assembly robots with optimized control stiffness through reinforcement learning	Feb 27, 2020	reinforcement-learningReinforcement Learning	—Unverified	0
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms	Feb 19, 2020	Federated LearningScheduling	—Unverified	0
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles	Jan 30, 2020	Autonomous DrivingAutonomous Vehicles	—Unverified	0
FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments	Jan 9, 2020	Motion PlanningTrajectory Planning	CodeCode Available	2
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey	Jan 8, 2020	Autonomous NavigationDecision Making	—Unverified	0
Deep Reinforcement Learning for Motion Planning of Mobile Robots	Dec 19, 2019	Deep Reinforcement LearningMotion Planning	—Unverified	0
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments	Dec 10, 2019	Autonomous DrivingMotion Planning	—Unverified	0
Deep RL-based Trajectory Planning for AoI Minimization in UAV-assisted IoT	Dec 9, 2019	Decision MakingDeep Reinforcement Learning	—Unverified	0
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction	Dec 4, 2019	State EstimationTrajectory Planning	—Unverified	0

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All datasets nuScenes ToolBench

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ST-P3 (Lidar)	Collision-3s	1.27	—	Unverified
2	UniAD	Collision-3s	0.71	—	Unverified
3	AD-MLP	Collision-3s	0.24	—	Unverified
4	VAD-Base [jiang2023vad]	Collision-3s	0.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT4-TOPGUN	Win rate	86.54	—	Unverified
2	Attention Bucket	Win rate	71.5	—	Unverified
3	GPT4- DFSDT	Win rate	70.4	—	Unverified