Collaborative Robotics: More Than Just Working in Groups

The purpose of this study was to determine what collaborative interventions produce positive effects for students working on collaborative robotics projects for science process skills, collaborative problem solving, and learning motivation. In addition, the study examined the impact students’ prior robotics experience had on science process skills, collaborative problem solving, and learning motivation. The results indicated experience level and collaboration interventions can have impacts on students. Assigned Group Roles had positive effects on students’ motivation and collaborative problem solving. Experience level also had effects upon student learning motivation and collaborative problem solving with the Novice status associated with higher levels as compared with students who had more experience. A collaboration intervention was identified that has the potential to produce positive effects for students in collaborative robotics projects as well as assist classroom educators in the purposeful design of collaborative robotics projects with scientifically based strategies to improve the attitudinal outcomes for students of various robotics experience

Collaborative Robotics

Diplomová práce se zabývá kolaborativní robotikou. V úvodní části je provedena analýze současného stavu dostupných kolaborativních robotů. Následuje popsání kladených požadavků na různé metody spolupráce robotů, vytvoření výukových úloh a na základě znalostí z nich je vytvořená demonstrační úloha.The thesis deals with collaborative robotics. The first part is an analysis of the current state of available collaborative robots. The analysis is followed by a description of requirements of collaboration methods. Creation of teaching tasks and based on theses teaching tasks creation of demonstrative example.354 - Katedra robotikydobř

On Collaborative Aerial and Surface Robots for Environmental Monitoring of Water Bodies

Part 8: Robotics and ManufacturingInternational audienceRemote monitoring is an essential task to help maintaining Earth ecosystems. A notorious example is the monitoring of riverine environments. The solution purposed in this paper is to use an electric boat (ASV - Autonomous Surface Vehicle) operating in symbiosis with a quadrotor (UAV – Unmanned Air Vehicle). We present the architecture and solutions adopted and at the same time compare it with other examples of collaborative robotics systems, in what we expected could be used as a survey for other persons doing collaborative robotics systems. The architecture here purposed will exploit the symbiotic partnership between both robots by covering the perception, navigation, coordination, and integration aspects

An FPGA-based controller for collaborative robotics

The use of robots is becoming more common in society. Industrial robots are being developed to work with people, and lower-force collaborative robots are being developed to help people in their everyday lives. These may need fast and sophisticated motion control and behavioral algorithms, but are expected to be more compact and lower cost. This paper proposes a processor plus FPGA solution for the control systems for such robots, where the FPGA performs all real-time tasks, freeing the processor to run lower-frequency high level control and interface to other devices such as camera systems. A demonstrator robot is designed, combining multi-axis motion control with 3D robot vision

Návrh konceptu univerzálního montážního stroje s využitím koncepce Industry 4.0

The aim of the thesis is to present the concept of the assembly device, which is based on the equipment already implemented. The concept involves deploying collaborative robots to increase the efficiency of the assembly cycle. The primary goal is to use time that is used in conventional equipment only for handling device operations. Collaborative activity reduces worker downtime, and this timeframe is significant in terms of process.Smyslem práce je představení konceptu montážního zařízení, který vychází ze zařízení již implementovaného. Koncept počítá s nasazením kolaborativních robotů pro zvýšení efektivity montážního cyklu. Primárním cílem je využití času, který je v konvenčním zařízení využit pouze pro manipulační úkony zařízení. Kolaborativní činnost redukuje prostoje pracovníka, přičemž tento časový rámec je z hlediska procesu významný

WSR: A WiFi Sensor for Collaborative Robotics

In this paper we derive a new capability for robots to measure relative direction, or Angle-of-Arrival (AOA), to other robots operating in non-line-of-sight and unmapped environments with occlusions, without requiring external infrastructure. We do so by capturing all of the paths that a WiFi signal traverses as it travels from a transmitting to a receiving robot, which we term an AOA profile. The key intuition is to "emulate antenna arrays in the air" as the robots move in 3D space, a method akin to Synthetic Aperture Radar (SAR). The main contributions include development of i) a framework to accommodate arbitrary 3D trajectories, as well as continuous mobility all robots, while computing AOA profiles and ii) an accompanying analysis that provides a lower bound on variance of AOA estimation as a function of robot trajectory geometry based on the Cramer Rao Bound. This is a critical distinction with previous work on SAR that restricts robot mobility to prescribed motion patterns, does not generalize to 3D space, and/or requires transmitting robots to be static during data acquisition periods. Our method results in more accurate AOA profiles and thus better AOA estimation, and formally characterizes this observation as the informativeness of the trajectory; a computable quantity for which we derive a closed form. All theoretical developments are substantiated by extensive simulation and hardware experiments. We also show that our formulation can be used with an off-the-shelf trajectory estimation sensor. Finally, we demonstrate the performance of our system on a multi-robot dynamic rendezvous task.Comment: 28 pages, 25 figures, *co-primary author

Hands-On Learning Environment and Educational Curriculum on Collaborative Robotics

The objective of this paper is to describe teaching modules developed at Wayne State University integrate collaborative robots into existing industrial automation curricula. This is in alignment with Oakland Community College and WSU’s desire to create the first industry-relevant learning program for the use of emerging collaborative robotics technology in advanced manufacturing systems. The various learning program components will prepare a career-ready workforce, train industry professionals, and educate academicians on new technologies. Preparing future engineers to work in highly automated production, requires proper education and training in CoBot theory and applications. Engineering and Engineering Technology at Wayne State University offer different robotics and mechatronics courses, but currently there is not any course on CoBot theory and applications. To follow the industry needs, a CoBot learning environment program is developed, which involves theory and hands-on laboratory exercises in order to solve many important automaton problems. This material has been divided into 5-modules: (1) Introduce the concepts of collaborative robotics, (2) Collaborative robot mechanisms and controls, (3) Safety considerations for collaborative robotics, (4) Collaborative robot operations and programming, (5) Collaborative robot kinematics and validation. These modules cover fundamental knowledge of CoBots in advanced manufacturing systems technology. Module content has been developed based on input and materials provided by CoBot manufacturers. After completing all modules students must submit a comprehensive engineering report to document all requirements