Kinematic constraints based bi-directional RRT (KB-RRT) with parameterized trajectories for robot path planning in cluttered environment

D Ghosh, G Nandakumar, K Narayanan… - … on Robotics and …, 2019 - ieeexplore.ieee.org
Optimal path planning and smooth trajectory planning are critical for effective navigation of
mobile robots working towards accomplishing complex missions. For autonomous, real time …

PG-RRT: A gaussian mixture model driven, kinematically constrained bi-directional RRT for robot path planning

P Sharma, A Gupta, D Ghosh, V Honkote… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
Path planning and smooth trajectory generation are critical capabilities for efficient
navigation of mobile robots operating in challenging and cluttered environments. For real …

AUV Path Planning in Dynamic Cluttered Environment through the Randomized Kinodynamic Sampling-based method

E Taheri, A Adeli - International Journal of Maritime Technology, 2021 - ijmt.ir
Considering both kinematic and dynamic constraints (kinodynamic constraints) of an
autonomous underwater vehicle in a Kinodynamic path planning algorithm in a dynamic …

Human-aware planning and control of an indoor autonomous wheelchair

P Durante - 2017 - politesi.polimi.it
The work done in this thesis focuses on the motion planning of an AGV (Autonomous
Guided Vehicle), in particular an indoor autonomous wheelchair. The main goal is to …

[PDF][PDF] Planning and trajectory generation methods for aggressive maneuver-ing of UAVs in the presence of ob-stacles

M Manzoni - 2023 - politesi.polimi.it
Abstract Unmanned Aerial Vehicles (UAVs) represent a leap in engineering innovation,
embodying autonomous flight capabilities without the need for human pilots on board. The …

Implementation, comparison, and advances in global planners using Ackerman motion primitives

C ARAUZ VILLEGAS - 2017 - politesi.polimi.it
Motion planning plays an important role in autonomous navigation, it can be defined as the
search for a collision-free path from an initial state to a final state. A good path planner …