This paper presents its observations with the implementation of one such machine learning application of object detection and recognition, i.e., You-Only-Look-Once (YOLO) on a robotic environment working on the number of clients and servers ends. Differentiating cloud and edge, we have ...
Unlike the architecture of computer, the design of a robotic system is so complex that it is difficult to seek systematic analysis methods due to its interdisciplinary nature despite it has built and experimented popularly. The typical reference architecture in the past 30 years are classified and ...
Robotic systems are set to be introduced in a wide range of real-world settings, ranging from roads to malls, offices, airports, and healthcare facilities. To perform consistently well in these environments, however, robots should be able to cope well with uncertainty, adapting to unexpected ch...
- International Conference on Fuzzy Systems & Knowledge Discovery 被引量: 29发表: 2009年 A genetic technique for robotic trajectory planning There are many multi-stage optimization problems that are not easily solved through any known direct method when the stages are coupled. For instance, the ....
This work contributes to the development of a common framework for the discussion and analysis of dexterous manipulation across the human and robotic domains. An overview of previous work is first provided along with an analysis of the tradeoffs between arm and hand dexterity. A hand-centric and ...
Journal of Intelligent & Robotic Systems Theory & ApplicationsC. Yang, P. Chung, Knowledge-based automatic change detection positioning system for complex ... CH Yang,PC Chung - 《Journal of Intelligent & Robotic Systems Theory & Applications》 被引量: 14发表: 2002年 Distributed Sensor System Fo...
In the last years, there has been an increasing interest in using Brain Computer Interfaces (BCI) within motor rehabilitation therapies that use robotic devices or functional electro stimulation to help or guide the efforts of the patient to move her body. A crucial step of these therapies is ...
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Hierarchical classification is important in automation and robotics in terms of providing extra pieces of information about the classified object. In this paper, a hierarchical classification model using a triplet attention-embedded deep learning model is proposed for household items for robotic applications...
this methodology frequently involves subjectivity and consumes time, resulting in delays in executing suitable interventions. Hence, the imperative for the creation of automated and efficient disease diagnosis systems arises, as they are essential in aiding farmers in making timely and precise determinations...