Adaptive stochastic gradient descent with least angle regression enhanced navigation: intelligent path planning in cluttered environments for autonomous robots
In the dynamic realm of Autonomous Mobile Robots (AMRs), ensuring smooth navigation among obstacles is critical, especially as they become increasingly integral to industries such as manufacturing and transportation. Recent advances have introduced several learning models to aid in obstacle avoidanc...
- Autores:
-
Thakur, Abhishek
Das, Subhranil
Mishra, Sudhansu Kumar
Swain, Subrat Kumar
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2025
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/14189
- Acceso en línea:
- https://doi.org/10.32397/tesea.vol6.n2.602
- Palabra clave:
- Autonomous Mobile Robot
Least Angle Regression
Adaptive Stochastic Gradient Descent
Machine Learning
Obstacle Avoidance
Path Planning
- Rights
- openAccess
- License
- Abhishek Thakur, Subhranil Das, Sudhansu Kumar Mishra, Subrat Kumar Swain - 2025
