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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–110 of 324 papers

TitleStatusHype
Automatic Parameter Tuning of Self-Driving Vehicles—0
Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers—0
Evaluation of 3D CNN Semantic Mapping for Rover Navigation—0
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving—0
Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles—0
Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems—0
Disconnectivity-Aware Energy-Efficient Cargo-UAV Trajectory Planning with Minimum Handoffs—0
Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning—0
Fast Spline Trajectory Planning: Minimum Snap and Beyond—0
Automatic driving lane change safety prediction model based on LSTM—0
Show:102550
← PrevPage 11 of 33Next →
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