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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 151–175 of 324 papers

TitleStatusHype
Real-time goal recognition using approximations in Euclidean space—0
Online Learning in Planar Pushing with Combined Prediction Model—0
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante—0
Optimal Trajectory Planning for Connected and Automated Vehicles in Lane-free Traffic with Vehicle Nudging—0
Optimal Trajectory Planning and Model Predictive Control of Underactuated Marine Surface Vessels using a Flatness-Based Approach—0
Optimal trajectory planning meets network-level routing: Integrated control framework for emerging mobility systems—0
Optimal Trajectory Planning with Collision Avoidance for Autonomous Vehicle Maneuvering—0
Optimization-based motion primitive automata for autonomous driving—0
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms—0
Optimized Views Photogrammetry: Precision Analysis and A Large-scale Case Study in Qingdao—0
Optimizing Drug Delivery in Smart Pharmacies: A Novel Framework of Multi-Stage Grasping Network Combined with Adaptive Robotics Mechanism—0
Optimizing Energy-Efficient Braking Trajectories with Anticipatory Road Data for Automated Vehicles—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
Performance Analysis of Optimally Coordinated Connected and Automated Vehicles in a Mixed Traffic Environment—0
Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device—0
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving—0
Planning Brachistochrone Hip Trajectory for a Toe-Foot Bipedal Robot going Downstairs—0
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning—0
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling—0
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving—0
Positioning Error Compensation by Channel Knowledge Map in UAV Communication Missions—0
Probabilistically Robust Trajectory Planning of Multiple Aerial Agents—0
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions—0
Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators—0
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks—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