Monocular based navigation system for autonomous ground robots using multiple deep learning models
In recent years, the development of ground robots with human-like perception capabilities
has led to the use of multiple sensors, including cameras, lidars, and radars, along with …
has led to the use of multiple sensors, including cameras, lidars, and radars, along with …
Motion path planning of soccer training auxiliary robot based on genetic algorithm in fixed-point rotation environment
H Ding - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
Soccer training assisted robot system is a combination of robotics and artificial intelligence.
Motion path planning is an important part of soccer training assisted robot decision system …
Motion path planning is an important part of soccer training assisted robot decision system …
A survey on swarm robotic modeling, analysis and hardware architecture
G Seeja - Procedia Computer Science, 2018 - Elsevier
The present paper studies, the progress in the research of nature inspired swarm robotics.
Swarm robotics is a robotic technology inspired from the nature (natural swarms). In this, an …
Swarm robotics is a robotic technology inspired from the nature (natural swarms). In this, an …
Learning from virtual experience: Mapless navigation with neuro-fuzzy intelligence
Traditional robot navigation approaches normally rely on creating a precise map of the
environment which is a computationally expensive procedure and highly depends on an …
environment which is a computationally expensive procedure and highly depends on an …
A Region-Based Approach to Monocular Mapless Navigation Using Deep Learning Techniques
In recent years, there have been significant advances in navigation methods for autonomous
robotic systems, giving rise to a diverse range of navigation techniques. These techniques …
robotic systems, giving rise to a diverse range of navigation techniques. These techniques …
[PDF][PDF] Research studio for testing control algorithms of mobile robots
In recent years, a significant development of technologies related to the control and
communication of mobile robots, including Unmanned Aerial Vehicles, has been noticeable …
communication of mobile robots, including Unmanned Aerial Vehicles, has been noticeable …
A General Collision-Free Scheme for Redundant Manipulators
Z **e, W Sun, B Cao, Y Liu, Z Wang, H Liu… - … Conference on Intelligent …, 2024 - Springer
Considering manipulation tasks of redundant manipulators in complex environments, this
article presents a general scheme that integrates model-based obstacle avoidance …
article presents a general scheme that integrates model-based obstacle avoidance …
[PDF][PDF] Multi-robot path planning using Dijkstra's algorithm with multi-layer dictionaries
Path planning is the first task for a Robot to autonomously navigate, especially for
autonomous Robots. For multi-Robot systems the process is more complex than a single …
autonomous Robots. For multi-Robot systems the process is more complex than a single …
Probabilistic Roadmap Generation for Autonomous Robot Path Planning in Dynamic Environments
Productive and versatile path-planning calculations are vital to fulfilling the development
requirements for autonomous robots. This study investigates the use of probabilistic street …
requirements for autonomous robots. This study investigates the use of probabilistic street …
[PDF][PDF] Heuristic Algorithms for Robot Path Planning: A Review
Path planning is an essential part of autonomous robots so that they can work in real
environments with several obstacles. There are two method of path planning classical and …
environments with several obstacles. There are two method of path planning classical and …