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 281–290 of 324 papers

TitleStatusHype
Active Learning for Nonlinear System Identification with Guarantees—0
Evaluation of 3D CNN Semantic Mapping for Rover Navigation—0
Deep reinforcement learning for optical systems: A case study of mode-locked lasers—0
AlphaPilot: Autonomous Drone Racing—0
Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning—0
High precision indoor positioning by means of LiDAR—0
Autonomous Emergency Collision Avoidance and Stabilisation in Structured Environments—0
Trajectory Planning and Control for Automatic Docking of ASVs with Full-Scale Experiments—0
Parallelization of Monte Carlo Tree Search in Continuous DomainsCode0
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving—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