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 301–324 of 324 papers

TitleStatusHype
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network—0
Online Learning in Planar Pushing with Combined Prediction Model—0
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles—0
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante—0
Trajectory Planning of Weakly Supervised Aircraft—0
Efficient Multi-Agent Trajectory Planning with Feasibility Guarantee using Relative Bernstein PolynomialCode0
UAV Trajectory Planning for Data Collection from Time-Constrained IoT DevicesCode0
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning—0
Improvements to Warm-Started Optimized Trajectory Planning for ASVs—0
An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition—0
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps—0
Continuous Trajectory Planning Based on Learning Optimization in High Dimensional Input Space for Serial Manipulators—0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
Trajectory planning for autonomous intersection management of connected vehicles—0
A Successive-Elimination Approach to Adaptive Robotic Sensing—0
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling—0
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions—0
Transferable Pedestrian Motion Prediction Models at Intersections—0
Machine learning and evolutionary techniques in interplanetary trajectory design—0
Submodular Trajectory Optimization for Aerial 3D Scanning—0
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments—0
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving—0
Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile RobotsCode0
A message-passing algorithm for multi-agent trajectory planning—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