Trajectory Planning
42 papers with code • 2 benchmarks • 7 datasets
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.
nuScenes
highD Dataset
inD Dataset
ToolBench
rounD Dataset
exiD Dataset
uniD Dataset
Most implemented papers
Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict Resolution
Multi-vehicle coordinated decision making and control can improve traffic efficiency while guaranteeing driving safety.
Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots
In this paper we a) propose a revised version of prioritized planning and characterize the class of instances that are provably solvable by the algorithm and b) propose an asynchronous decentralized variant of prioritized planning, which maintains the desirable properties of the centralized version and in the same time exploits the distributed computational power of the individual robots, which in most situations allows to find the joint trajectories faster.
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
hbayerlein/uav_data_harvesting
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Autonomous deployment of unmanned aerial vehicles (UAVs) supporting next-generation communication networks requires efficient trajectory planning methods.
FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments
mit-acl/faster
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The standard approaches that ensure safety by enforcing a "stop" condition in the free-known space can severely limit the speed of the vehicle, especially in situations where much of the world is unknown.
ORFD: A Dataset and Benchmark for Off-Road Freespace Detection
chaytonmin/Off-Road-Freespace-Detection
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Freespace detection is an essential component of autonomous driving technology and plays an important role in trajectory planning.
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
hustvl/vad
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ICCV 2023
In this paper, we propose VAD, an end-to-end vectorized paradigm for autonomous driving, which models the driving scene as a fully vectorized representation.
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
To this end, we jointly optimize the trajectory of a UAV and the radio resource allocation to maximize the number of served IoT devices, where each device has its own target data upload deadline.
Efficient Multi-Agent Trajectory Planning with Feasibility Guarantee using Relative Bernstein Polynomial
This paper presents a new efficient algorithm which guarantees a solution for a class of multi-agent trajectory planning problems in obstacle-dense environments.
Parallelization of Monte Carlo Tree Search in Continuous Domains
Monte Carlo Tree Search (MCTS) has proven to be capable of solving challenging tasks in domains such as Go, chess and Atari.
Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions
LorenzoFederici/RobustTrajectoryDesignbyRL
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This paper investigates the use of Reinforcement Learning for the robust design of low-thrust interplanetary trajectories in presence of severe disturbances, modeled alternatively as Gaussian additive process noise, observation noise, control actuation errors on thrust magnitude and direction, and possibly multiple missed thrust events.
