SOTAVerified

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 211–220 of 324 papers

TitleStatusHype
Autonomous Robotic Drilling System for Mice Cranial Window Creation: An Evaluation with an Egg Model—0
Autonomous Robotic Drilling System for Mice Cranial Window Creation—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning—0
Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving using POMDPs—0
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Trajectory planning with a dynamic obstacle clustering strategy using Mixed-Integer Linear Programming—0
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All datasetsnuScenesToolBench

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-P3 (Lidar)Collision-3s1.27—Unverified
2UniADCollision-3s0.71—Unverified
3AD-MLPCollision-3s0.24—Unverified
4VAD-Base [jiang2023vad]Collision-3s0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-TOPGUNWin rate86.54—Unverified
2Attention BucketWin rate71.5—Unverified
3GPT4- DFSDTWin rate70.4—Unverified