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
Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse Data using a Learning-based Unscented Kalman Filter—0
Real-World Application of Various Trajectory Planning Algorithms on MIT RACECAR—0
Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection—0
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning—0
RFPPO: Motion Dynamic RRT based Fluid Field - PPO for Dynamic TF/TA Routing Planning—0
RIS-Assisted Jamming Rejection and Path Planning for UAV-Borne IoT Platform: A New Deep Reinforcement Learning Framework—0
RIS-Assisted UAV for Timely Data Collection in IoT Networks—0
RL-Based Cargo-UAV Trajectory Planning and Cell Association for Minimum Handoffs, Disconnectivity, and Energy Consumption—0
Robotic Navigation Autonomy for Subretinal Injection via Intelligent Real-Time Virtual iOCT Volume Slicing—0
Robust Trajectory and Resource Optimization for Communication-assisted UAV SAR Sensing—0
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles—0
Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awareness—0
Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections—0
Safe-by-Design Planner-Tracker Synthesis—0
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning—0
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving—0
Safe Planning through Incremental Decomposition of Signal Temporal Logic Specifications—0
SAFER: Safe Collision Avoidance using Focused and Efficient Trajectory Search with Reinforcement Learning—0
Safe Trajectory Planning Using Reinforcement Learning for Self Driving—0
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows—0
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors—0
Semantic Segmentation of Surface from Lidar Point Cloud—0
Shared-phase-dedicated-lane based intersection control with mixed traffic of human-driven vehicles and connected and automated vehicles—0
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models—0
SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics—0
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments—0
Stability Constrained Mobile Manipulation Planning on Rough Terrain—0
Standoff Tracking Using DNN-Based MPC with Implementation on FPGA—0
Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving: Extended Version—0
Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios—0
Submodular Trajectory Optimization for Aerial 3D Scanning—0
Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization—0
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles—0
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response—0
Systems Engineering for Autonomous Vehicles; Supervising AI using Large Language Models (SSuperLLM)—0
Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanations—0
Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems—0
The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11—0
Three-Dimension Collision-Free Trajectory Planning of UAVs Based on ADS-B Information in Low-Altitude Urban Airspace—0
Timed-Elastic-Band Based Variable Splitting for Autonomous Trajectory Planning—0
Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems—0
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation—0
TrackVLA: Embodied Visual Tracking in the Wild—0
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models—0
Trajectory and Resource Optimization for UAV Synthetic Aperture Radar—0
Trajectory Planning and Control for Automatic Docking of ASVs with Full-Scale Experiments—0
Trajectory planning for autonomous intersection management of connected vehicles—0
Trajectory Planning of Cellular-Connected UAV for Communication-assisted Radar Sensing—0
Trajectory Planning of Weakly Supervised Aircraft—0
Trajectory Planning Using Tire Thermodynamics for Automated Drifting—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