Analysis and Observations from the First Amazon Picking Challenge

This paper presents a overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams. The challenge goal was to design an autonomous robot to pick items from a warehouse shelf. This task is currently performed by human workers, and there is hope that robots can someday help increase efficiency and throughput while lowering cost. We report on a 28-question survey posed to the teams to learn about each team's background, mechanism design, perception apparatus, planning and control approach. We identify trends in this data, correlate it with each team's success in the competition, and discuss observations and lessons learned based on survey results and the authors' personal experiences during the challenge

NASA Center for Intelligent Robotic Systems for Space Exploration

NASA's program for the civilian exploration of space is a challenge to scientists and engineers to help maintain and further develop the United States' position of leadership in a focused sphere of space activity. Such an ambitious plan requires the contribution and further development of many scientific and technological fields. One research area essential for the success of these space exploration programs is Intelligent Robotic Systems. These systems represent a class of autonomous and semi-autonomous machines that can perform human-like functions with or without human interaction. They are fundamental for activities too hazardous for humans or too distant or complex for remote telemanipulation. To meet this challenge, Rensselaer Polytechnic Institute (RPI) has established an Engineering Research Center for Intelligent Robotic Systems for Space Exploration (CIRSSE). The Center was created with a five year $5.5 million grant from NASA submitted by a team of the Robotics and Automation Laboratories. The Robotics and Automation Laboratories of RPI are the result of the merger of the Robotics and Automation Laboratory of the Department of Electrical, Computer, and Systems Engineering (ECSE) and the Research Laboratory for Kinematics and Robotic Mechanisms of the Department of Mechanical Engineering, Aeronautical Engineering, and Mechanics (ME,AE,&M), in 1987. This report is an examination of the activities that are centered at CIRSSE

AI-Powered Robots for Libraries: Exploratory Questions

With recent developments in machine learning, a subfield of artificial intelligence (AI), it seems no longer extraordinary to think that we will be soon living in the world with many robots. While the term, ‘a robot’ conjures up the image of a humanoid machine, a robot can take many forms ranging from a drone, an autonomous vehicle, to a therapeutic baby seal-bot. But what counts as a robot, and what kind of robots should we expect to see at libraries? AI has made it possible to make a robot intelligent and autonomous in performing tasks not only mechanical but also cognitive, such as driving, natural language processing, translation, and face recognition. The capability of AI-powered robots far exceeds that of other simpler and less sophisticated machines. How we will be interacting with these robots once they came to be in the world with us is an interesting question. Humans have a strong tendency to anthropomorphize creatures and objects they interact with, many of which are less complex than a robot. This suggests that we will be quite susceptible to projecting motives, emotions, and other human traits onto robots. For this reason, the adoption of robots raises unique concerns regarding their safety, morality, their impact on social relationships and norms, and their potential to be used as a means for manipulation and deception. This paper explores these concerns related to the adoption of robots. It also discusses what kind of robots we may come to see at libraries in the near future, what kind of human-robot interactions may take place at libraries, and what type of human-robot relationship may facilitate or impede a library robot’s involvement in our information-seeking activities

Lego Librarian: Book Sorter

Manual book sorting is time consuming and laborious. Traditionally, human librarians have to get the books from the circulation desk to be sorted and carry the books around to the right locations and putting it on the right shelf. It is prone to misplacement of books in the library. It is quite difficult and seems impractical to return the books back to the original locations daily. To overcome this problem, a book sorting robot known as Book Sorter, a small scaled prototype has been proposed as a simulation of an efficient method to ease the daunting task of librarians in the manual organisation of books. It is also proposed to provide a better allocation of resources of a library. Book Sorter is built as a robot that compliments another robot in LEGO Librarian called Book Carrier. LEGO Librarian is an automated system that is used for organising books on the shelf at the library. The scope of study for this project involves the current system used in the UTP library as well as the robotics application in the librarian system that covers some chapters of study. The activity diagram describes the overall process flow of the system and the development methodology used in this project is throwaway prototyping.. Several interview, survey, field test and acceptance testing were conducted and briefly discussed in Chapter 4. This project is expected to have vast potential to provide a view in real life especially in its capability to alleviate the intensive labours and efforts (time) in sorting the books automatically onto the right shelves

NASA space station automation: AI-based technology review

Research and Development projects in automation for the Space Station are discussed. Artificial Intelligence (AI) based automation technologies are planned to enhance crew safety through reduced need for EVA, increase crew productivity through the reduction of routine operations, increase space station autonomy, and augment space station capability through the use of teleoperation and robotics. AI technology will also be developed for the servicing of satellites at the Space Station, system monitoring and diagnosis, space manufacturing, and the assembly of large space structures