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 251–300 of 324 papers

TitleStatusHype
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks—0
Shared-phase-dedicated-lane based intersection control with mixed traffic of human-driven vehicles and connected and automated vehicles—0
RIS-Assisted UAV for Timely Data Collection in IoT Networks—0
IA Planner: Motion Planning Using Instantaneous Analysis for Autonomous Vehicle in the Dense Dynamic Scenarios on Highways—0
Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict ResolutionCode0
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping—0
Efficient UAV Trajectory-Planning using Economic Reinforcement Learning—0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning—0
Optimal Trajectory Planning and Model Predictive Control of Underactuated Marine Surface Vessels using a Flatness-Based Approach—0
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning—0
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways—0
Planning Brachistochrone Hip Trajectory for a Toe-Foot Bipedal Robot going Downstairs—0
Safe Trajectory Planning Using Reinforcement Learning for Self Driving—0
LBGP: Learning Based Goal Planning for Autonomous Following in Front—0
Fault diagnosis for linear heterodirectional hyperbolic ODE-PDE systems using backstepping-based trajectory planning—0
A nonlinear tracking model predictive control scheme for dynamic target signals—0
Deep Reinforcement Learning with a Stage Incentive Mechanism of Dense Reward for Robotic Trajectory Planning—0
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing—0
Artificial Intelligence Control in 4D Cylindrical Space for Industrial Robotic ApplicationsCode0
Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving: Extended Version—0
Trajectory planning with a dynamic obstacle clustering strategy using Mixed-Integer Linear Programming—0
Energy-Efficient Multi-UAV Data Collection for IoT Networks with Time Deadlines—0
Semantic Segmentation of Surface from Lidar Point Cloud—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space—0
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning—0
Imitative Planning using Conditional Normalizing Flow—0
Intelligent Trajectory Planning in UAV-mounted Wireless Networks: A Quantum-Inspired Reinforcement Learning Perspective—0
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments—0
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning—0
Active Learning for Nonlinear System Identification with Guarantees—0
Evaluation of 3D CNN Semantic Mapping for Rover Navigation—0
Deep reinforcement learning for optical systems: A case study of mode-locked lasers—0
AlphaPilot: Autonomous Drone Racing—0
Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning—0
High precision indoor positioning by means of LiDAR—0
Trajectory Planning and Control for Automatic Docking of ASVs with Full-Scale Experiments—0
Autonomous Emergency Collision Avoidance and Stabilisation in Structured Environments—0
Parallelization of Monte Carlo Tree Search in Continuous DomainsCode0
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving—0
Mixed Strategies for Robust Optimization of Unknown Objectives—0
Assembly robots with optimized control stiffness through reinforcement learning—0
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms—0
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
Deep Reinforcement Learning for Motion Planning of Mobile Robots—0
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments—0
Deep RL-based Trajectory Planning for AoI Minimization in UAV-assisted IoT—0
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction—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