“…These robots are employed by various companies for local deliveries, including food delivery services, grocery stores, and courier companies. They offer benefits such as reduced delivery times, lower delivery costs, and the ability to operate around the clock [121].…”
Intelligent robotics has the potential to revolutionize various industries by amplifying output, streamlining operations, and enriching customer interactions. This systematic literature review aims to analyze emerging technologies and trends in intelligent robotics, addressing key research questions, identifying challenges and opportunities, and proposing the best practices for responsible and beneficial integration into various sectors. Our research uncovers the significant improvements brought by intelligent robotics across industries such as manufacturing, logistics, tourism, agriculture, healthcare, and construction. The main results indicate the importance of focusing on human–robot collaboration, ethical considerations, sustainable practices, and addressing industry-specific challenges to harness the opportunities presented by intelligent robotics fully. The implications and future directions of intelligent robotics involve addressing both challenges and potential risks, maximizing benefits, and ensuring responsible implementation. The continuous improvement and refinement of existing technology will shape human life and industries, driving innovation and advancements in intelligent robotics.
“…These robots are employed by various companies for local deliveries, including food delivery services, grocery stores, and courier companies. They offer benefits such as reduced delivery times, lower delivery costs, and the ability to operate around the clock [121].…”
Intelligent robotics has the potential to revolutionize various industries by amplifying output, streamlining operations, and enriching customer interactions. This systematic literature review aims to analyze emerging technologies and trends in intelligent robotics, addressing key research questions, identifying challenges and opportunities, and proposing the best practices for responsible and beneficial integration into various sectors. Our research uncovers the significant improvements brought by intelligent robotics across industries such as manufacturing, logistics, tourism, agriculture, healthcare, and construction. The main results indicate the importance of focusing on human–robot collaboration, ethical considerations, sustainable practices, and addressing industry-specific challenges to harness the opportunities presented by intelligent robotics fully. The implications and future directions of intelligent robotics involve addressing both challenges and potential risks, maximizing benefits, and ensuring responsible implementation. The continuous improvement and refinement of existing technology will shape human life and industries, driving innovation and advancements in intelligent robotics.
“…In [ 128 ], Chen deals with a topic that is becoming increasingly popular: the use of autonomous delivery robots (ADRs). His experiment focuses on an adaptive heuristic algorithm to which improvements are made in order to identify large neighborhoods willing to deliver up to 100 customers.…”
It has been almost half a century since the first interest in autonomous robots was shown, and research is still continuing to improve their ability to make perfectly conscious decisions from a user safety point of view. These autonomous robots are now at a fairly advanced level, which means that their adoption rate in social environments is also increasing. This article reviews the current state of development of this technology and highlights the evolution of interest in it. We analyze and discuss specific areas of its use, for example, its functionality and current level of development. Finally, challenges related to the current level of research and new methods that are still being developed for the wider adoption of these autonomous robots are highlighted.
“…The position of the CoM of the upper body relative to the world coordinate system can be presented as (3). 4) and (5).…”
Section: A Equivalent Centroid Calculationmentioning
confidence: 99%
“…𝑀(𝑞 𝑤 )𝑞̈𝑤 + 𝑉(𝑞 𝑤 , 𝑞̇𝑤) + 𝐺(𝑞 𝑤 ) + 𝜏 𝑒𝑥𝑡 = 𝐵𝜏 𝑤 (6) where 𝑀(𝑞 𝑤 ) ∈ 𝑅 3×3 , 𝑉(𝑞 𝑤 , 𝑞̇𝑤) ∈ 𝑅 3 , and 𝐺(𝑞 𝑤 ) ∈ 𝑅 3 are respectively the inertia matrix, the Coriolis and Centripetal forces vector, the Gravitational force vector; 𝐵 is the input matrix, 𝜏 𝑒𝑥𝑡 is the lumped uncertainties including the modeling error and external torque, 𝜏 𝑤 = [ 𝜏 𝐿 𝜏 𝑅 ] 𝑇 is the wheel driving torques. In the differential-drive mobile robot, the input matrix is defined as 𝐵 = […”
Section: B Tlwr Modelling Assumptionmentioning
confidence: 99%
“…In recent years, autonomous robots have been invented rapidly to share manpower requirements in factories, restaurants [1], airports [2], and delivery [3] [4]. Unlike conventional robots and human workers operating as separate workspaces, human-robot cooperation is used to complete complex tasks.…”
This paper proposes a fuzzy LQR PID control for a two-legged wheeled balancing robot for keeping stability against uncertainties and variant heights. The proposed control includes the fuzzy supervisor, LQR, PID, and two calibrations. The fuzzy LQR is conducted to control the stability and motion of the robot while its posture changes with respect to time. The fuzzy supervisor is used to adjust the LQR control according to the robotic height. It consists of one input and one output. The input and output have three membership functions, respectively, to three postures of the robot. The PID control is used to control the posture of the robot. The first calibration is used to compensate for the bias value of the tilting angle when the robot changes its posture. The second calibration is applied to compute the robotic height according to the hip angle. In order to verify the effectiveness of the proposed control, a practical robot with the variant height is constructed, and the proposed control is embedded in the control board. Finally, two experiments are also conducted to verify the balancing and moving ability of the robot with the variant posture.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.