Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"robot behavior"”.
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TofuDraw : choreographing robot behavior through Digital Painting
… TofuDraw is introduced as an expressive robotic character with interfaces that enable children to choreograph robotic behaviors through controlling both physical motion and form. Unique to the TofuDraw system is the presented "Digital Painting" interface, which enables children to …
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Tell Me Why (and What)! Self-Explanations for Autonomous Social Robot Behavior
Social robots’ capabilities are advancing and so is their deployment in numerous domains - as language tutors, workout partners or social companions. An increase in social robots’ abilities to autonomously choose behaviors inevitably augments the likelihood that these behaviors deviate from what a …
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Human-Guided Learning for Personalizing Robot Behaviors
The presence of robots performing tasks in real-world environments is rapidly growing. These robots will interact with various humans with different personal preferences, highlighting the need for robots that adapt their behavior accordingly. In this thesis, we develop tools and interfaces to …
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Impact of Robot Motions on User Interaction and Workload in Cooperative Assembly. Perceived Safety and Salience of Nearby Collaborative Robots in Human-Robot Working Cells
This dissertation addresses the effects of robot behavior, especially motions, on the user in human-robot applications. When working in such an environment, the operator safety is paramount. Likewise, the user’s perceived safety is essential for well-being, minimizing fatigue effects and ultimately …
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Programmable Expressiveness in Non-Social Tasks: A Mixed-Methods Study of Middle School AI Learning
… as tools to enhance engagement in educational robotics. While prior research shows benefits in socially-oriented tasks like storytelling or group collaboration, it remains unclear how student-controlled expressive blocks affect learning when the task itself is non-social. This study isolates …
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Learning Environmental Models With Multi-Robot Teams Using A Dynamical Systems Approach
Robots monitoring complex, spatiotemporal phenomena require rich, meaningful representations of the environment. This thesis presents methods for representing the environment as a dynamical system with machine learning techniques. Specifically, we formulate machine learning methods that lend to …
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Intelligence Through Interaction: Leveraging Physical Interactions In Simple Robots To Produce Complex Behaviors
This thesis investigates how intelligent robot behavior can emerge from physical interactions rather than sensing, computation, and actuation in the traditional sense. Two robotic systems are presented to explore this concept in different domains. The first is a swarm of simple rolling robots whose …
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Modeling and controls for a laser glass cutting machine workcell robot
The SCARA (Selective Compliance Assembly Robot Arm)-Type Nimbl loader junior robot includes a four-degree of freedom robot manipulator arm. This thesis deals with three main areas of robot behavior: kinematics, dynamics and controls for the purpose of improving the performance of the Laser Glass …
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A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications
… This thesis addresses this shortcoming with a robotic arm that utilizes a gripper to grasp and hold a workpiece during a soldering task. The robot uses a Microsoft Kinect sensor to continuously analyze the posture of the human worker and calculate a score based on the RULA (Rapid Upper Limb …
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Guiding navigation of unknown environments with distant visual cues
While navigating unknown environments, robots rely primarily on proximate features for guidance in decision making such as depth information from lidar or stereo to build a costmap, or local semantic information from images. The limited range over which these features can be used can result in poor …
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Guiding Navigation of Unknown Environments with Distant Visual Cues
While navigating unknown environments, robots rely primarily on proximate features for guidance in decision making such as depth information from lidar or stereo to build a costmap, or local semantic information from images. The limited range over which these features can be used can result in poor …
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Towards Improving Human-Robot Interaction For Social Robots
Autonomous robots interacting with humans in a social setting must consider the social-cultural environment when pursuing their objectives. Thus the social robot must perceive and understand the social cultural environment in order to be able to explain and predict the actions of its human …
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Developing and evaluating a model for human motion to facilitate low degree-of-freedom robot imitation of human movement
… of human motion is a necessary activity for robots to integrate seamlessly into human-facing environments. While perfect replication is not possible, especially for low degree-of-freedom (DOF) robots, this thesis presents a model for human motion that achieves perceptual imitation. Motion …
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Breaking things so you don’t have to: risk assessment and failure prediction for cyber-physical AI
… accelerate verification and design automation of robots and other autonomous systems by using program analysis tools such as automatic differentiation and probabilistic programming to automatically construct mathematical models of the system under test. In particular, I make the following …
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Communication-Driven Robot Learning for Human-Robot Collaboration
The growing presence of modern learning robots necessitates a fundamental shift in design, as these robots must learn skills from human inputs. Two main components close the loop in a human-robot interaction: learning and communication. Learning derives robot behaviors from human inputs, and …
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Modeling Autonomous Agents' Behavior Using Neuro-Immune Networks
Autonomous robots are expected to interact with their dynamic changing environment. This interactions requires certain level of behavior based Intelligence, which facilitates the dynamic adaptation of the robot behavior accordingly with his surrounding environment. Many researches have been done in …
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Robot See, Robot Do: On the Development of Robust and Adaptive Imitation Learning for Robots
As robots transition from isolated industrial settings to working in close proximity to humans in dynamic environments, their ability to learn and adapt to human feedback and unseen circumstances becomes crucial. Imitation learning offers a promising paradigm for robots to learn complex tasks by …
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Characterizing Mental Workload in Physical Human-Robot Interaction Using Eye-Tracking Measures
… ushered in an exciting era for collaborative robots (cobots), which can operate in close proximity with humans, sharing and supporting task goals. While there is increasing research on the biomechanical and ergonomic consequences of using cobots, there is relatively little work on the …
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The Ant and the Trap: Evolution of Ant-Inspired Obstacle Avoidance in a Multi-Agent Robotic System
Interest in swarm robotics, particularly those modeled on biological systems, has been increasing with each passing year. We created the iAnt robot as a platform to test how well an ant-inspired robotic swarm could collect resources in an unmapped environment. Although swarm robotics is still a …