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 141–150 of 324 papers

TitleStatusHype
Guaranteed Reachability on Riemannian Manifolds for Unknown Nonlinear Systems—0
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response—0
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows—0
Transfer Learning Study of Motion Transformer-based Trajectory Predictions—0
LaPlaSS: Latent Space Planning for Stochastic Systems—0
MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector—0
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation—0
Robust Trajectory and Resource Optimization for Communication-assisted UAV SAR Sensing—0
Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators—0
Multi-Objective Trajectory Planning with Dual-Encoder—0
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All datasetsnuScenesToolBench

Benchmark Results

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