Browsing by Author "Fernandes, Miguel"
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- “Less is more”: Simplifying point clouds to improve grasping performancePublication . Lopes, Vasco; Alexandre, Luís; Fernandes, MiguelObject grasping is a task that humans do without major concerns. This results from self learning and by observing of other skilled humans doing such task with previous information. However, grasping novel objects in unknown positions for a robot is a complex task which encounters many problems, such as sub-optimal performance rates and the time consumption. In this paper we present a method that complements the state-of-the-art grasping algorithms with two segmentation steps, the first one which removes the largest planar surface in the point cloud of the world before the grasp detector receives them and the second one that complements this segmentation with another segmentation that calculates where the object is located and segments the point cloud by executing a crop around the object. The proposed method significantly improves the grasping success rate (100% improvement over the baseline approach) and simultaneously is able to reduce the time consumption by 23%.
- Robotchain: Using Tezos Technology for Robot Event ManagementPublication . Fernandes, Miguel; Alexandre, LuísRobots are important equipment in the modern day factory environment. To maintain and improve factory productivity, ledgers containing robotic actions may be used to identify possible bottleneck points in an assembly line or to serve as a record of in unintentional behaviours, be it of a malicious nature or not. In this paper we present Robotchain, a possible solution using blockchain technology, that prevents unwanted changes in a robotic action ledger and provides a way to use the said ledger in order to aid in production efficiency or other management requirements. This paper also presents an initial experimental study of the Tezos blockchain in order to understand the challenges related to using its advanced blockchain technology for the Robotchain implementation.