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 226–250 of 324 papers

TitleStatusHype
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
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree SearchCode0
Deep Movement Primitives: toward Breast Cancer Examination RobotCode0
Near-Optimal 3-D Visual Coverage for Quadrotor Unmanned Aerial Vehicles Under Photogrammetric Constraints—0
Mars Entry Trajectory Planning with Range Discretization and Successive Convexification—0
Safe-by-Design Planner-Tracker Synthesis—0
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model—0
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points—0
Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces—0
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint—0
Autonomous Navigation of Underactuated Bipedal Robots in Height-Constrained Environments—0
Real-World Application of Various Trajectory Planning Algorithms on MIT RACECAR—0
Trajectory Planning Under Environmental Uncertainty With Finite-Sample Safety GuaranteesCode0
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning—0
Variable-Horizon Guidance for Autonomous Rendezvous and Docking to a Tumbling Target—0
Multistage Stochastic Model Predictive Control for Urban Automated Driving—0
Resilient UAV Swarm Communications with Graph Convolutional Neural NetworkCode0
Disconnectivity-Aware Energy-Efficient Cargo-UAV Trajectory Planning with Minimum Handoffs—0
OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots—0
Stability Constrained Mobile Manipulation Planning on Rough Terrain—0
Fast Spline Trajectory Planning: Minimum Snap and Beyond—0
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving—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