Localization is an essential capability for mobile robots, enabling them to build a comprehensive representation of their environment and interact with the environment effectively toward a goal. A rapidly growing field of research in this area is visual place recognition (VPR), which is the ability to recognize previously seen places in the world based solely on images. For … [Read more...] about Visual Place Recognition: A Tutorial [Tutorial]
Visualization
Robotic Volatile Sampling for Early Detection of Plant Stress: Precision Agriculture Beyond Visual Remote Sensing
Global agriculture is challenged to provide food for a human population that is larger than ever before and still increasing. This is accompanied by the need to reduce the large global impacts of agriculture while increasing yields. Early identification of plant stress enables fast intervention to limit crop losses and optimized application of pesticides and fertilizer to … [Read more...] about Robotic Volatile Sampling for Early Detection of Plant Stress: Precision Agriculture Beyond Visual Remote Sensing
USMA-BOF: A Novel Bag-of-Features Algorithm for Classification of Infected Plant Leaf Images in Precision Agriculture
The automatic recognition and classification of infected plant leaves play an important role in precision agriculture and in helping to improve crop yields. With the advancements in the fields of artificial intelligence and computer vision, an exponential progress has been observed in their applications to agriculture, such as in plant leaf disease detection and subsequent … [Read more...] about USMA-BOF: A Novel Bag-of-Features Algorithm for Classification of Infected Plant Leaf Images in Precision Agriculture
Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning
This article is about recognizing handheld objects from incomplete tactile observations with a classifier trained on only visual representations. Our method is based on the deep learning (DL) architecture PointNet and a curriculum learning (CL) technique for fostering the learning of descriptors robust to partial representations of objects. The learning procedure gradually … [Read more...] about Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning
Next-Generation Furniture Assembly by AI and Robots: Team SK2Y: A Winner of the Furniture Assembly Competition at AI–Robot Challenge 2021
The “Furniture Assembly AI–Robot Challenge 2021” is a competition that evaluates the performance of the robot for an assigned furniture assembly task by combining both artificial intelligence (AI) and robot technology. To generate commands such that a robot can execute the assembly instructions, it is essential to develop an AI-based algorithm that can recognize and interpret … [Read more...] about Next-Generation Furniture Assembly by AI and Robots: Team SK2Y: A Winner of the Furniture Assembly Competition at AI–Robot Challenge 2021
