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 2nd Applied Active Inference Symposium on "Robotics" 2nd session Presenters in 2nd session : 1:48 Bruno Lara "Prediction error dynamics: a proof of concept implementation." 32:44 Matt Brown "Real-time Robotic Control through Embodied Homeostatic Feedback" 1:05:44 Adam Safron "Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences" 1:42:12 JF Cloutier "Towards a symbolic implementation of Active Inference for Lego robots" 2:23:13 Roundtable with Jakub Smekal, Bruno Lara, Adam Safron, JF Cloutier Karl Friston Presenters in 1st session • 2nd Applied Activ... : Tim Schneider Tim Verbelen Ben White Noor Sajid Wen-Hua Chen Roundtable with Wen-Hua Chen & Daniel Friedman Active Inference Institute information: Website: https://activeinference.org/ Twitter: https://twitter.com/InferenceActive Discord: https://discord.gg/8VNKNp4jtx YouTube: / activeinference Active Inference Livestreams: https://coda.io/@active-inference-ins... CSID: cba37b5cd9869117 Content Managed by ContentSafe.co

HCC Southwest College Interim President Dr. Michael Webster talks about the Bachelor of Applied Technology in Artificial Intelligence & Robotics program and how students are finding employment after graduation. For more information about the program, please click on this link: https://www.hccs.edu/programs/areas-of-study/science-technology-engineering--math/artificial-intelligence--robotics-bat/ #WeAreHCC #RealWorldEducation #HoustonCommunityCollege #ArtificialIntelligence #HCCSouthwest

 2nd Applied Active Inference Symposium on "Robotics" Presenters in 1st interval: 3:46 Tim Schneider "Active Inference for Robotic Manipulation" 32:10 Tim Verbelen "Robots Modeling the World from Pixels using Deep Active Inference" 1:01:10 Ben White "Artificial Empathy: Active Inference and Collective Intelligence" 1:34:04 Noor Sajid "Learning agent preferences" 2:04:13 Wen-Hua Chen "Dual Control for Exploitation and Exploration and its Applications in Robotic Autonomous Search" 2:39:49 Roundtable with Wen-Hua Chen & Daniel Friedman Presenters in 2nd interval: Adam Safron JF Cloutier Bruno Lara Matt Brown Karl Friston Active Inference Institute information: Website: https://activeinference.org/ Twitter: https://twitter.com/InferenceActive Discord: https://discord.gg/8VNKNp4jtx YouTube: / activeinference Active Inference Livestreams: https://coda.io/@active-inference-ins... CSID: c18218faca9e294c Content Managed by ContentSafe.co

Houston Community College recently hosted its inaugural Commit to Complete signing ceremony for students enrolled in the Bachelor of Applied Technology in Artificial Intelligence & Robotics program. See photos from the event at the West Loop Campus: https://www.flickr.com/photos/hccphotos/albums/72177720321945699/

This item represents a case in PACER, the U.S. Government's website for federal case data. If you wish to see the entire case, please consult PACER directly.

This item represents a case in PACER, the U.S. Government's website for federal case data. If you wish to see the entire case, please consult PACER directly.

This study addresses the usability of the Applied Robotics for Installations and Base Operations (ARIBO) Autonomous Warrior Transport On-base (AWTO) rider reservation and reminder system mobile application, called ARIBO Mobile. ARIBO is an on-demand transportation system that will allow Soldiers to reserve a vehicle for a specified time and at predefined pick-up and drop-off locations throughout the medical campus at Ft Bragg, North Carolina. The mobile application allows riders to request transport reservations, modify or view existing reservations, and receive reminders for upcoming reservations. A usability assessment was conducted with 7 subject matter experts to provide a heuristic evaluation of the application, feedback on the design of the application, and an objective assessment of the tool. Direct measurements including time to complete task, number of steps to complete task, errors, and requests for assistance were recorded. The usability assessment of ARIBO Mobile provides the designers with feedback that may be used to update or change the design prior to wide distribution to the Soldiers.

We are converting the in phase and quadrature measurements into an image and then using the image to classify fault or no fault eddy current. This has been done using old OCR features developed to recognize handwritten numerical characters which are applicable to this situation. The raw data was first smoothed out by taking the average of the nearest 10 measurements, then plotted on a 50 by 50 grid. The X axis is the in phase measurement normalized to accommodate the maximum and minimum in phase values in the data set. The same was done for quadrature values on the Y axis. An efficient path planning method for collision avoidance has been developed. Fast path planning is achieved by decomposing the 3-dimensional space into a number of 2-dimensional subspaces. A method is devised to work directly with arm postures (configurations) instead of dealing with individual joint angles. These two aspects, namely decomposition and posture control, greatly speed up the path finding procedure and make it possible to perform near real-time planning in a moderately cluttered environment. Meetings were held at McDonnell Douglas, McClelland AFB, and Physical Research Inc., manufacturers of Magneto-Optic Crack Detectors to assess the utility of our research and plans for prototyping during Phase II. Discussions have begun with United Technologies concerning the use of our research for a large Air Force NDI program. Prospects for Phase III follow-on look promising.

The efforts of a recent study aimed at identifying key issues and trade-offs associated with using a Flight Telerobotic Servicer (FTS) to aid in Space Station assembly-phase tasks is described. The use of automation and robotic (A and R) technologies for large space systems would involve a substitution of automation capabilities for human extravehicular or intravehicular activities (EVA, IVA). A methodology is presented that incorporates assessment of candidate assembly-phase tasks, telerobotic performance capabilities, development costs, and effect of operational constraints (space transportation system (STS), attached payload, and proximity operations). Changes in the region of cost-effectiveness are examined under a variety of systems design assumptions. A discussion of issues is presented with focus on three roles the FTS might serve: (1) as a research-oriented testbed to learn more about space usage of telerobotics; (2) as a research based testbed having an experimental demonstration orientation with limited assembly and servicing applications; or (3) as an operational system to augment EVA and to aid the construction of the Space Station and to reduce the programmatic (schedule) risk by increasing the flexibility of mission operations.

Houston Community College recently hosted its Spring 2025 Commitment Day signing ceremony for students enrolled in the Bachelor of Applied Technology in Artificial Intelligence & Robotics program. See photos from the event at the HCC Southwest College's West Loop Campus: https://flic.kr/s/aHBqjC79FW

What are the three laws of robotics? Are they purely ficticious or is there scientific credence to them?

In this paper we propose strategies and methodologies of teaching topics in high school physics, through a show of Educational Robotics. The Exhibition was part of a set of actions promoted by a brazilian government program of incentive for teaching activities (PIBID) and whose primary focus is the training of teachers, improvement of teaching in public schools, dissemination of science and formation of new scientists and researchers. By means of workshops, banners and prototyping of robotics, we are able to create a connection between the study areas and their surrounding, making learning meaningful and accessible for the students involved and contributing to their cognitive development.

Houston Community College recently hosted its inaugural Commit to Complete signing ceremony for students enrolled in the Bachelor of Applied Technology in Artificial Intelligence & Robotics program. See photos from the event at the West Loop Campus: https://www.flickr.com/photos/hccphotos/albums/72177720321945699/ #WeAreHCC #RealWorldEducation #HoustonCommunityCollege #ArtificialIntelligence

Houston Community College’s pioneering bachelor’s degree of applied technology in AI and Robotics is now well underway to help meet the surging demand for professionals trained in artificial intelligence. The program, which began in the fall semester, aims to equip students with a solid foundation and industry-guided, practical skills to prepare them for careers in the rapidly evolving AI and robotics industry. HCC holds the distinction of being the first to offer a bachelor’s degree in AI and Robotics at the community college level, following its pioneering AI associate degree of applied science that launched in Texas two years ago.

Houston Community College’s pioneering bachelor’s degree of applied technology in AI and Robotics is now well underway to help meet the surging demand for professionals trained in artificial intelligence. The program, which began in the fall semester, aims to equip students with a solid foundation and industry-guided, practical skills to prepare them for careers in the rapidly evolving AI and robotics industry. HCC holds the distinction of being the first to offer a bachelor’s degree in AI and Robotics at the community college level, following its pioneering AI associate degree of applied science that launched in Texas two years ago.

This report describes the research on a biological visual system (BVS) based sensor with possible applications to robotics and automation. The report covers the following subjects: sensor configuration; edge detection modeling for the human visual system and edge detection using the BVS sensor. qualitative motion detection using the BVS; Target tracking algorithms for the BVS; and Microsaccadic eye movement in the human visual system (HVS). Keywords: Machine visual sensor.

This report describes the research on a biological visual system (BVS) based sensor with possible applications to robotics and automation. The report covers the following subjects: sensor configuration; edge detection modeling for the human visual system and edge detection using the BVS sensor. qualitative motion detection using the BVS; Target tracking algorithms for the BVS; and Microsaccadic eye movement in the human visual system (HVS). Keywords: Machine visual sensor.

This item represents a case in PACER, the U.S. Government's website for federal case data. If you wish to see the entire case, please consult PACER directly.

There is currently increasing interest and activity in the area of reliability and fault tolerance for robotics. This paper discusses the application of Standards in robot reliability, and surveys the literature of relevant existing standards. A bibliography of relevant Military and NASA standards for reliability and fault tolerance is included.

The US Army Tank Automotive Research, Development and Engineering Centers Applied Robotics for Installations and Base Operations (ARIBO) program at Fort Bragg, North Carolina, provided one of the first US-based living laboratories that allowed Soldiers the opportunity to directly interact with a driverless, robotic transport vehicle. Passengers and potential future passengers from the Warrior Transition Battalion (WTB) and Womack Area Medical Center were given the opportunity to provide user feedback during Phase 1 (driver operated) and Phase 2 (safety operator) of development of the vehicle. A total of 26 people including safety operators, passengers, bystanders, and Soldiers from the WTB provided feedback related to trust and acceptability of the vehicle autonomy, as well as design recommendations for increasing future passenger and pedestrian comfort and trust in the driverless transport vehicle. Overall findings suggest that even minimal exposure to robotic systems can increase positive ratings of trustworthiness and acceptability of the future autonomous capabilities of a driverless transport vehicle. However, the vehicle could benefit from a number of design features and capabilities to better communicate its decision-making processes and intent to passengers, pedestrians, and other road users.

The US Army Tank Automotive Research, Development and Engineering Centers Applied Robotics for Installations and Base Operations (ARIBO) program at Fort Bragg, North Carolina, provided one of the first US-based living laboratories that allowed Soldiers the opportunity to directly interact with a driverless, robotic transport vehicle. Passengers and potential future passengers from the Warrior Transition Battalion (WTB) and Womack Area Medical Center were given the opportunity to provide user feedback during Phase 1 (driver operated) and Phase 2 (safety operator) of development of the vehicle. A total of 26 people including safety operators, passengers, bystanders, and Soldiers from the WTB provided feedback related to trust and acceptability of the vehicle autonomy, as well as design recommendations for increasing future passenger and pedestrian comfort and trust in the driverless transport vehicle. Overall findings suggest that even minimal exposure to robotic systems can increase positive ratings of trustworthiness and acceptability of the future autonomous capabilities of a driverless transport vehicle. However, the vehicle could benefit from a number of design features and capabilities to better communicate its decision-making processes and intent to passengers, pedestrians, and other road users.

The US Army Tank Automotive Research, Development and Engineering Centers Applied Robotics for Installations and Base Operations (ARIBO) program at Fort Bragg, North Carolina, provided one of the first US-based living laboratories that allowed Soldiers the opportunity to directly interact with a driverless, robotic transport vehicle. Passengers and potential future passengers from the Warrior Transition Battalion (WTB) and Womack Area Medical Center were given the opportunity to provide user feedback during Phase 1 (driver operated) and Phase 2 (safety operator) of development of the vehicle. A total of 26 people including safety operators, passengers, bystanders, and Soldiers from the WTB provided feedback related to trust and acceptability of the vehicle autonomy, as well as design recommendations for increasing future passenger and pedestrian comfort and trust in the driverless transport vehicle. Overall findings suggest that even minimal exposure to robotic systems can increase positive ratings of trustworthiness and acceptability of the future autonomous capabilities of a driverless transport vehicle. However, the vehicle could benefit from a number of design features and capabilities to better communicate its decision-making processes and intent to passengers, pedestrians, and other road users.

This article describes the TangibleK robotics program for young children. Based on over a decade of research, this program is grounded on the belief that teaching children about the human-made world, the realm of technology and engineering, is as important as teaching them about the natural world, numbers, and letters. The TangibleK program uses robotics as a tool to engage children in developing computational thinking and learning about the engineering design process. It includes a research-based, developmentally appropriate robotics kit that children can use to make robots and program their behaviors. The curriculum has been piloted in kindergarten classrooms and in summer camps and lab settings. The author presents the theoretical framework that informs TangibleK and the "powerful ideas" from computer science and robotics on which the curriculum is based, linking them to other disciplinary areas and developmental characteristics of early childhood. The article concludes with a description of classroom pedagogy and activities, along with assessment tools used to evaluate learning outcomes. (Contains 5 figures and 4 tables.)

This article describes the TangibleK robotics program for young children. Based on over a decade of research, this program is grounded on the belief that teaching children about the human-made world, the realm of technology and engineering, is as important as teaching them about the natural world, numbers, and letters. The TangibleK program uses robotics as a tool to engage children in developing computational thinking and learning about the engineering design process. It includes a research-based, developmentally appropriate robotics kit that children can use to make robots and program their behaviors. The curriculum has been piloted in kindergarten classrooms and in summer camps and lab settings. The author presents the theoretical framework that informs TangibleK and the "powerful ideas" from computer science and robotics on which the curriculum is based, linking them to other disciplinary areas and developmental characteristics of early childhood. The article concludes with a description of classroom pedagogy and activities, along with assessment tools used to evaluate learning outcomes. (Contains 5 figures and 4 tables.)