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
Optimization-based motion primitive automata for autonomous driving—0
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models—0
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation—0
3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching—0
Data Assimilation in Chaotic Systems Using Deep Reinforcement LearningCode0
Emotion Based Prediction in the Context of Optimized Trajectory Planning for Immersive Learning—0
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task ExecutionCode1
Minimum-Time Trajectory Optimization With Data-Based Models: A Linear Programming Approach—0
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool UseCode0
RL-Based Cargo-UAV Trajectory Planning and Cell Association for Minimum Handoffs, Disconnectivity, and Energy Consumption—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