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 151–160 of 324 papers

TitleStatusHype
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors—0
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial ApproximationCode0
Safe Planning through Incremental Decomposition of Signal Temporal Logic Specifications—0
Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space Debris—0
Automatic driving lane change safety prediction model based on LSTM—0
Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay—0
SwissNYF: Tool Grounded LLM Agents for Black Box SettingCode0
A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control—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