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

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Showing 271–280 of 324 papers

Title	Date	Tasks	Status	Hype
Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions	Aug 19, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles	Aug 17, 2020	Autonomous VehiclesTrajectory Planning	—Unverified	0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline	Aug 16, 2020	Autonomous DrivingAutonomous Vehicles	—Unverified	0
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning	Aug 10, 2020	Motion ForecastingTrajectory Planning	—Unverified	0
Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space	Aug 10, 2020	Imitation LearningTrajectory Planning	—Unverified	0
Imitative Planning using Conditional Normalizing Flow	Jul 31, 2020	Autonomous VehiclesTrajectory Planning	—Unverified	0
Intelligent Trajectory Planning in UAV-mounted Wireless Networks: A Quantum-Inspired Reinforcement Learning Perspective	Jul 27, 2020	reinforcement-learningReinforcement Learning	—Unverified	0
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments	Jul 24, 2020	Autonomous DrivingAutonomous Vehicles	—Unverified	0
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning	Jul 11, 2020	Trajectory Planning	—Unverified	0
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach	Jul 1, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1

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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