Follow blockchain research across journals, conferences, and preprint repositories.
5 results · page 1 of 1
Shuguang Liu, Jiacheng Xie, Xuewen Wang, Xiaojun Qiao
No abstract is available for this record.
Hesam Azadjou, Suraj Chakravarthi Raja, Ali Marjaninejad, Francisco J. Valero‐Cuevas
Like mammals, robots must rapidly learn to control their bodies and interact with their environment despite incomplete knowledge of their body structure and surroundings. They must also adapt to continuous changes in both. This work presents a bio-inspired learning algorithm, General-to-Particular (G2P), applied to a tendon-driven quadruped robotic system developed and fabricated in-house. Our quadruped robot undergoes an initial five-minute phase of generalized motor babbling, followed by 15 refinement trials (each lasting 20 seconds) to achieve specific cyclical movements. This process mirrors the exploration-exploitation paradigm observed in mammals. With each refinement, the robot progressively improves upon its initial "good enough" solution. Our results serve as a proof-of-concept, demonstrating the hardware-in-the-loop system's ability to learn the control of a tendon-driven quadruped with redundancies in just a few minutes to achieve functional and adaptive cyclical non-convex movements. By advancing autonomous control in robotic locomotion, our approach paves the way for robots capable of dynamically adjusting to new environments, ensuring sustained adaptability and performance.
Andreagiovanni Reina
No abstract is available for this record.
Nikolay Teslya, Semyon Potryasaev
The paper presents an approach of the blockchain and smart contracts utilization for dynamic robot coalition creation. The coalition is forming for solving complex tasks in industry applications that requires sequential united actions from the several robots. The main idea is that the process is split into two stages: scheduling and dynamic execution. On the scheduling stage, the coalition is defined based on the correlation of existing tasks and robot equipment, and the execution plan is formed and stored in smart contracts. The second stage is the plan execution. During this stage, smart contract controls how each robot solves its sub-task and whether it solves the sub-task due to the planned moment of time. In case of any deviation from the plan, smart contacts will provide a solution for returning to the plan or for changing the coalition composition with new robots and an execution plan. The prototype for execution control system has been developed based on the Hyperledger Fabric platform.
Raphael Maas, Erik Maehle, Karl-Erwin Grosspietsch
This paper presents an overview of the Organic Robot Control Architecture (ORCA) and its previous applications. The architecture supports the decentralized operation and organization of autonomous subsystems and the avoidance of states that are considered as unhealthy. Additionally the paper discusses the application of ORCA in the context of cyber-physical systems (CPS), as CPS share common characteristics with organically controlled system, such as self-organization, self-configuration, self-optimization and other ones. This is underlined by an exemplary CPS layout that follows the ORCA design principles.