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 81–90 of 324 papers

TitleStatusHype
A Holistic Optimization Framework for Energy Efficient UAV-assisted Fog Computing: Attitude Control, Trajectory Planning and Task Assignment—0
Active Learning for Nonlinear System Identification with Guarantees—0
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning—0
BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving using POMDPs—0
A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control—0
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
A nonlinear tracking model predictive control scheme for dynamic target signals—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