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 221–230 of 324 papers

TitleStatusHype
Timed-Elastic-Band Based Variable Splitting for Autonomous Trajectory Planning—0
Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems—0
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation—0
TrackVLA: Embodied Visual Tracking in the Wild—0
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models—0
Trajectory and Resource Optimization for UAV Synthetic Aperture Radar—0
Trajectory Planning and Control for Automatic Docking of ASVs with Full-Scale Experiments—0
Trajectory planning for autonomous intersection management of connected vehicles—0
Trajectory Planning of Cellular-Connected UAV for Communication-assisted Radar Sensing—0
Trajectory Planning of Weakly Supervised Aircraft—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