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 1–25 of 324 papers

TitleStatusHype
Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning—0
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-TuningCode2
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-TuningCode3
Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning—0
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)—0
Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awareness—0
Ego-centric Learning of Communicative World Models for Autonomous Driving—0
Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic ReasoningCode0
From Turbulence to Tranquility: AI-Driven Low-Altitude Network—0
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks—0
Using Diffusion Ensembles to Estimate Uncertainty for End-to-End Autonomous Driving—0
TrackVLA: Embodied Visual Tracking in the Wild—0
Articulatory modeling of the S-shaped F2 trajectories observed in Öhman's spectrographic analysis of VCV syllables—0
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI—0
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous DrivingCode0
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving—0
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling—0
VERDI: VLM-Embedded Reasoning for Autonomous Driving—0
Provably safe and human-like car-following behaviors: Part 2. A parsimonious multi-phase model with projected braking—0
Provably safe and human-like car-following behaviors: Part 1. Analysis of phases and dynamics in standard models—0
TransDiffuser: End-to-end Trajectory Generation with Decorrelated Multi-modal Representation for Autonomous Driving—0
Optimal Trajectory Planning with Collision Avoidance for Autonomous Vehicle Maneuvering—0
Trajectory Planning with Model Predictive Control for Obstacle Avoidance Considering Prediction Uncertainty—0
Mixed Bernstein-Fourier Approximants for Optimal Trajectory Generation with Periodic Behavior—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