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 111–120 of 324 papers

TitleStatusHype
Non-iterative Optimization of Trajectory and Radio Resource for Aerial NetworkCode0
Three-Dimension Collision-Free Trajectory Planning of UAVs Based on ADS-B Information in Low-Altitude Urban Airspace—0
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles—0
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
WROOM: An Autonomous Driving Approach for Off-Road NavigationCode1
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
Show:102550
← PrevPage 12 of 33Next →
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