Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering
Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …
widely used recently to solve various engineering problems in logistics, manufacturing, and …
Coverage path planning for decomposition reconfigurable grid-maps using deep reinforcement learning based travelling salesman problem
Optimizing the coverage path planning (CPP) in robotics has become essential to
accomplish efficient coverage applications. This work presents a novel approach to solve …
accomplish efficient coverage applications. This work presents a novel approach to solve …
[HTML][HTML] A human support robot for the cleaning and maintenance of door handles using a deep-learning framework
The role of mobile robots for cleaning and sanitation purposes is increasing worldwide.
Disinfection and hygiene are two integral parts of any safe indoor environment, and these …
Disinfection and hygiene are two integral parts of any safe indoor environment, and these …
A YOLO-GGCNN based grasping framework for mobile robots in unknown environments
To grasp a desirable object in an unknown environment, both accurate map construction
and reliable visual recognition are prerequisites for the collaboration of mobile robots. We …
and reliable visual recognition are prerequisites for the collaboration of mobile robots. We …
Multi-objective genetic algorithm-based autonomous path planning for hinged-tetro reconfigurable tiling robot
Reconfigurable robots have received broad research interest due to the high dexterity they
provide and the complex actions they could perform. Robots with reconfigurability are …
provide and the complex actions they could perform. Robots with reconfigurability are …
A framework for taxonomy and evaluation of self-reconfigurable robotic systems
Self-reconfigurable robots have been proposed for a quite long period and in large
numbers. However, there are very few systematic methodologies proposed to categorize …
numbers. However, there are very few systematic methodologies proposed to categorize …
Energy-efficient path planning of reconfigurable robots in complex environments
Planning the energy-efficient and collision-free paths for reconfigurable robots in complex
environments is more challenging than conventional fixed-shaped robots due to their …
environments is more challenging than conventional fixed-shaped robots due to their …
[HTML][HTML] Reinforcement learning-based complete area coverage path planning for a modified hTrihex robot
One of the essential attributes of a cleaning robot is to achieve complete area coverage.
Current commercial indoor cleaning robots have fixed morphology and are restricted to …
Current commercial indoor cleaning robots have fixed morphology and are restricted to …
An output feedback based robust saturated controller design for pavement sweeping self-reconfigurable robot
MM Rayguru, RE Mohan, R Parween… - IEEE/ASME …, 2021 - ieeexplore.ieee.org
Mobile robots play a crucial role in cleaning, maintenance, and surveillance applications.
This article advocates for the use of a novel robust output feedback based path following …
This article advocates for the use of a novel robust output feedback based path following …
[HTML][HTML] Table cleaning task by human support robot using deep learning technique
This work presents a table cleaning and inspection method using a Human Support Robot
(HSR) which can operate in a typical food court setting. The HSR is able to perform a …
(HSR) which can operate in a typical food court setting. The HSR is able to perform a …