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 221–230 of 324 papers

Title	Date	Tasks	Status	Hype
Performance Analysis of Optimally Coordinated Connected and Automated Vehicles in a Mixed Traffic Environment	Feb 20, 2022	Trajectory Planning	—Unverified	0
Deep Movement Primitives: toward Breast Cancer Examination Robot	Feb 14, 2022	Trajectory Planning	CodeCode Available	0
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search	Feb 14, 2022	Decision Makingreinforcement-learning	CodeCode Available	0
Autonomous Driving on Curvy Roads Without Reliance on Frenet Frame: A Cartesian-Based Trajectory Planning Method	Feb 3, 2022	Autonomous DrivingCollision Avoidance	CodeCode Available	2
Near-Optimal 3-D Visual Coverage for Quadrotor Unmanned Aerial Vehicles Under Photogrammetric Constraints	Feb 2, 2022	Trajectory Planning	—Unverified	0
Mars Entry Trajectory Planning with Range Discretization and Successive Convexification	Jan 24, 2022	Numerical IntegrationTrajectory Planning	—Unverified	0
Safe-by-Design Planner-Tracker Synthesis	Jan 12, 2022	Model Predictive ControlTrajectory Planning	—Unverified	0
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model	Dec 1, 2021	Combinatorial OptimizationDeep Reinforcement Learning	—Unverified	0
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points	Nov 3, 2021	Deep Reinforcement LearningTrajectory Planning	—Unverified	0
MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation	Oct 18, 2021	PredictionTrajectory Planning	CodeCode Available	1

Show:10 25 50

← PrevPage 23 of 33Next →

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