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 201–225 of 324 papers

TitleStatusHype
A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks—0
Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse Data using a Learning-based Unscented Kalman Filter—0
Distributed Dynamic Platoons Control and Junction Crossing Optimization for Mixed Traffic Flows in Smart Cities- Part I. Fundamentals, Theoretical and Automatic Decision Framework—0
Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers—0
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles—0
Distributed Scheduling at Non-Signalized Intersections with Mixed Cooperative and Non-Cooperative Vehicles—0
Trajectory Planning of Cellular-Connected UAV for Communication-assisted Radar Sensing—0
A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location CuesCode0
Optimal Trajectory Planning for Connected and Automated Vehicles in Lane-free Traffic with Vehicle Nudging—0
Trajectory and Resource Optimization for UAV Synthetic Aperture Radar—0
A Learning System for Motion Planning of Free-Float Dual-Arm Space Manipulator towards Non-Cooperative ObjectCode1
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles—0
Optimized Views Photogrammetry: Precision Analysis and A Large-scale Case Study in Qingdao—0
ORFD: A Dataset and Benchmark for Off-Road Freespace DetectionCode2
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong BaselineCode1
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms—0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments—0
The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics—0
Performance Analysis of Optimally Coordinated Connected and Automated Vehicles in a Mixed Traffic Environment—0
Deep Movement Primitives: toward Breast Cancer Examination RobotCode0
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree SearchCode0
Autonomous Driving on Curvy Roads Without Reliance on Frenet Frame: A Cartesian-Based Trajectory Planning MethodCode2
Near-Optimal 3-D Visual Coverage for Quadrotor Unmanned Aerial Vehicles Under Photogrammetric Constraints—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