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This paper aims to present a concise review on the variant state-of-the-art dynamic task allocation strategies. It presents a thorough discussion about the existing dynamic task allocation strategies mainly with respect to the problem application, constraints, objective functions and uncertainty handling methods.

This paper briefs the introduction of multi-robot dynamic task allocation problem and discloses the challenges that exist in real-world dynamic task allocation problems. Numerous task allocation strategies are discussed in this paper, and it establishes the characteristics features between them in a qualitative manner. This paper also exhibits the existing research gaps and conducive future research directions in dynamic task allocation for multiple mobile robot systems.

This paper concerns the objective functions, robustness, task allocation time, completion time, and task reallocation feature for performance analysis of different task allocation strategies. It prescribes suitable real-world applications for variant task allocation strategies and identifies the challenges to be resolved in multi-robot task allocation strategies.

This paper provides a comprehensive review of dynamic task allocation strategies and incites the salient research directions to the researchers in multi-robot dynamic task allocation problems. This paper aims to summarize the latest approaches in the application of exploration problems.

This study aims to propose an efficient dual-robot task collaboration strategy to address the issue of low work efficiency and inability to meet the production needs of a single robot during construction operations.

A hybrid task allocation method based on integer programming and auction algorithms, with the aim of achieving a balanced workload between two robots has been proposed. In addition, while ensuring reasonable workload allocation between the two robots, an improved dual ant colony algorithm was used to solve the dual traveling salesman problem, and the global path planning of the two robots was determined, resulting in an efficient and collision-free path for the dual robots to operate. Meanwhile, an improved fast Random tree rapidly-exploring random tree algorithm is introduced as a local obstacle avoidance strategy.

The proposed method combines randomization and iteration techniques to achieve an efficient task allocation strategy for two robots, ensuring the relative optimal global path of the two robots in cooperation and solving complex local obstacle avoidance problems.

This method is applied to the scene of steel bar tying in construction work, with the workload allocation and collaborative work between two robots as evaluation indicators. The experimental results show that this method can efficiently complete the steel bar banding operation, effectively reduce the interference between the two robots and minimize the interference of obstacles in the environment.

The purpose of this study is to fabricate and compare the mechanical and thermal properties of Sansevieria and Kaans fiber reinforced polyester matrices composites.

Treated Sansevieria and Kaans fiber was used as reinforcement for the fabrication of polymer matrix composites. Kaans fiber, which was available plenty in the delta region, but physical and mechanical properties of Kaans fiber were low when it compared with Sansevieria fiber. To make use of Kaans fiber for the fabrication of composite, the physical and mechanical properties have to be enhanced. So Egg shell powder was selected as a filler material to enhance the Kaans fiber reinforced composite. The selected fibers were properly weaved after alkali treatment. A three-layered (0°/45°/0°) Sansevieria fiber reinforced polymer (S-FRP) and Kaans fiber reinforced polymer (K-FRP) composite plates were fabricated using the compression molding method. As per American Society for Testing and Materials standards, the specimens were cut and mechanical, thermal and absorption properties of Sansevieria and Kaans fiber composites were investigated experimentally.

Tensile and flexural test reveals that K-FRP composite has good ductility and bending property than S-FRP composite plate. But from the other test results, S-FRP possesses high elongation capability than K-FRP. Thermo gravimetric analysis, moisture absorption and swelling test too done which clearly appeared S-FRP composite plate has prevalent execution than K-FRP composite plate.

This original research study enlists the mechanical, thermal properties and absorption properties of fabricated S-FRP and K-FRP composite plates.

Any career is marked by luck, both good and bad, as well as by hard work interspersed by times of uncertainty, fits and starts, and learning from one's mistakes and successes. But beyond these outcomes and actions, I owe an enormous debt to people who have shaped me and made life the challenging and rewarding journey it is. My family of origin and extended family were incredibly supportive in personal and functional ways. So many mentors and teachers influenced what I know and who I am. Many students, colleagues, secretaries, computer and library staff, and group chairs and deans provided the help, inspiration, and friendship guiding my career behind the scenes. My wife, son, and daughter sustained me through times of tears and joy, as did my community of faith. All these relationships were foundational to any contributions I may have made to attitudes, social action, and theory of mind; methodology, statistics, and philosophical foundations of research; sales force, organization, and health behaviors; emotions, ethics, and moral behavior; and marketing and managerial practice. For me, my career contributions are secondary to the relationships within which I was fortunate to engage.

As I have reflected upon the last thirty years, since it was precisely thirty years ago that I started as a student at Stanford, I have wondered if there is an overall theme to how my professional career has unfolded and the role Stanford played in it. I believe Albert Bandura's (1982) paper, The Psychology of Chance Encounters and Life Paths, provides a good descriptive framework to work with. I am persuaded that at various points of time as I stood at the proverbial fork in the road, due to one chance factor or another, my decision was tipped one way. This is not to suggest that my career has been a sequence of random events; quite the contrary. While the specific fortuitous events occurred largely outside my control, my responses to them were quite systematic; some fortuitous events had lasting influence, and some even changed my life trajectory. But, what I am struck by, ex post, is that in 1973, as I was just finishing my undergraduate education in India, the ex ante probability of my ending up some years later as a professor at an Ivy League university was essentially zero. Yet, this did eventually happen.

The purpose of this paper is to present the control of a six degrees of freedom (DOF) robot arm (PUMA robot) using fuzzy PD + I controller. Numerical simulation using the dynamic model of six DOF robot arm shows the effectiveness of the approach in trajectory tracking problems. Comparative evaluation with respect to PID and fuzzy PID controls are presented to validate the controller design. The results presented emphasize that a satisfactory tracking precision could be achieved using fuzzy PD + I controller combination than fuzzy PID controller.

Control of a six DOF robot arm (PUMA Robot) using fuzzy PD + I controller.

The performance of fuzzy PD + I controllers improves appreciably compared to their respective fuzzy PID only or conventional PID counterparts.

Complexity of the proposed fuzzy PID controller is minimized as possible and only two design variables are used to adjust the rate of variations of the proportional gain and derivative gain.