[HTML][HTML] A survey on blockchain in robotics: Issues, opportunities, challenges and future directions
Robotics is the multi-disciplinary domain that is booming in today's world, and expanding its
roots deep into various fields of research, manufacturing industries, healthcare, and even in …
roots deep into various fields of research, manufacturing industries, healthcare, and even in …
Prospects of robotics in food industry
Technological advancements in various domains have broadened the application horizon of
robotics to an incredible extent. Highlighting a very recent application area, this paper …
robotics to an incredible extent. Highlighting a very recent application area, this paper …
Towards realizing robotic potential in future intelligent food manufacturing systems
This paper provides a comprehensive review of the robotic potential that is foreseen by
researchers in designing future food manufacturing plant. The present day food handling …
researchers in designing future food manufacturing plant. The present day food handling …
[HTML][HTML] Advanced sliding mode control techniques for Inverted Pendulum: Modelling and simulation
Numerous practical applications like robot balancing, segway and hover board riding and
operation of a rocket propeller are inherently based on Inverted Pendulum (IP). The control …
operation of a rocket propeller are inherently based on Inverted Pendulum (IP). The control …
Nonlinear control systems-A brief overview of historical and recent advances
Last five decades witnessed remarkable developments in linear control systems and thus
problems in this subject has been largely resolved. The scope of the present paper is …
problems in this subject has been largely resolved. The scope of the present paper is …
A review of deep reinforcement learning algorithms for mobile robot path planning
R Singh, J Ren, X Lin - Vehicles, 2023 - mdpi.com
Path planning is the most fundamental necessity for autonomous mobile robots.
Traditionally, the path planning problem was solved using analytical methods, but these …
Traditionally, the path planning problem was solved using analytical methods, but these …
Human-robot collaboration with commonsense reasoning in smart manufacturing contexts
Human-robot collaboration (HRC), where humans and robots work together to handle
specific tasks, requires designing robots that can effectively support human beings. Robots …
specific tasks, requires designing robots that can effectively support human beings. Robots …
Extended grey wolf optimization–based adaptive fast nonsingular terminal sliding mode control of a robotic manipulator
This article proposes a novel hybrid metaheuristic technique based on nonsingular terminal
sliding mode controller, time delay estimation method, an extended grey wolf optimization …
sliding mode controller, time delay estimation method, an extended grey wolf optimization …
Fault-tolerant scheme for robotic manipulator—Nonlinear robust back-step** control with friction compensation
Emerging applications of autonomous robots requiring stability and reliability cannot afford
component failure to achieve operational objectives. Hence, identification and …
component failure to achieve operational objectives. Hence, identification and …
Uncertainty-assisted image-processing for human-robot close collaboration
The safety of human workers has been the main concern in human-robot close
collaboration. Along with rapidly developed artificial intelligence techniques, deep learning …
collaboration. Along with rapidly developed artificial intelligence techniques, deep learning …