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 101–125 of 324 papers

TitleStatusHype
Energy-efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles—0
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging ScenarioCode0
Learning Maximal Safe Sets Using Hypernetworks for MPC-based Local Trajectory Planning in Unknown Environments—0
Markov Potential Game with Final-time Reach-Avoid Objectives—0
Cooperative Trajectory Planning: Principles for Human-Machine System Design on Trajectory Level—0
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications—0
Inadequate contrast ratio of road markings as an indicator for ADAS failure—0
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions—0
3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation—0
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks—0
Optimizing Drug Delivery in Smart Pharmacies: A Novel Framework of Multi-Stage Grasping Network Combined with Adaptive Robotics Mechanism—0
BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving using POMDPs—0
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape—0
Positioning Error Compensation by Channel Knowledge Map in UAV Communication Missions—0
Probabilistically Robust Trajectory Planning of Multiple Aerial Agents—0
Model Predictive Online Trajectory Planning for Adaptive Battery Discharging in Fuel Cell Vehicle—0
Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection—0
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning—0
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models—0
Logically Constrained Robotics Transformers for Enhanced Perception-Action Planning—0
A Holistic Optimization Framework for Energy Efficient UAV-assisted Fog Computing: Attitude Control, Trajectory Planning and Task Assignment—0
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
Trajectory Planning Using Tire Thermodynamics for Automated Drifting—0
LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving—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