16 citations · 92 across the 20 of their papers we have counts for
18 papers · 1 filter
SCOUT: Closed-Loop in-vivo System for Continuous Methane Concentration Monitoring in Cattle
Yuelin Deng, Hinayah Rojas de Oliveira, Richard M. Voyles +1
Enteric methane measurement from ruminant livestock faces fundamental trade-offs between accuracy and operational feasibility. Existing methods quantify methane after eructation an…
Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard Voyles +2
Ultrasound is a commonly used medical imaging modality that requires expert sonographers to manually maneuver the ultrasound probe based on the acquired image. Autonomous Robotic U…
RUSOpt: Robotic UltraSound Probe Normalization with Bayesian Optimization for In-plane and Out-plane Scanning
Deepak Raina, Abhishek Mathur, Richard M. Voyles +3
The one of the significant challenges faced by autonomous robotic ultrasound systems is acquiring high-quality images across different patients. The proper orientation of the robot…
Robotic Sonographer: Autonomous Robotic Ultrasound using Domain Expertise in Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard Voyles +2
Ultrasound is a vital imaging modality utilized for a variety of diagnostic and interventional procedures. However, an expert sonographer is required to make accurate maneuvers of…
RoboMal: Malware Detection for Robot Network Systems
Upinder Kaur, Haozhe Zhou, Xiaxin Shen +2
Robot systems are increasingly integrating into numerous avenues of modern life. From cleaning houses to providing guidance and emotional support, robots now work directly with hum…
Enhancing Safety of Students with Mobile Air Filtration during School Reopening from COVID-19
Haoguang Yang, Mythra V. Balakuntala, Abigayle E. Moser +7
The paper discusses how robots enable occupant-safe continuous protection for students when schools reopen. Conventionally, fixed air filters are not used as a key pandemic prevent…
Learning Multimodal Contact-Rich Skills from Demonstrations Without Reward Engineering
Mythra V. Balakuntala, Upinder Kaur, Xin Ma +2
Everyday contact-rich tasks, such as peeling, cleaning, and writing, demand multimodal perception for effective and precise task execution. However, these present a novel challenge…
Clutter Slices Approach for Identification-on-the-fly of Indoor Spaces
Upinder Kaur, Praveen Abbaraju, Harrison McCarty +1
Construction spaces are constantly evolving, dynamic environments in need of continuous surveying, inspection, and assessment. Traditional manual inspection of such spaces proves t…
From the DESK (Dexterous Surgical Skill) to the Battlefield -- A Robotics Exploratory Study
Glebys T. Gonzalez, Upinder Kaur, Masudur Rahma +6
Short response time is critical for future military medical operations in austere settings or remote areas. Such effective patient care at the point of injury can greatly benefit f…
Aerial Mobile Manipulator System to Enable Dexterous Manipulations with Increased Precision
Abbaraju Praveen, Haoguang Yang, Hyukjun Jang +1
Problems associated with physical interactions using aerial mobile manipulators (AMM) are being independently addressed with respect to mobility and manipulability. Multirotor unma…
Inspection-on-the-fly using Hybrid Physical Interaction Control for Aerial Manipulators
Abbaraju Praveen, Xin Ma, Harikrishnan Manoj +3
Inspection for structural properties (surface stiffness and coefficient of restitution) is crucial for understanding and performing aerial manipulations in unknown environments, wi…
Evaluation of Sampling Methods for Robotic Sediment Sampling Systems
Jun Han Bae, Wonse Jo, Jee Hwan Park +3
Analysis of sediments from rivers, lakes, reservoirs, wetlands and other constructed surface water impoundments is an important tool to characterize the function and health of thes…
Extending Policy from One-Shot Learning through Coaching
Mythra V. Balakuntala, Vishnunandan L. N. Venkatesh, Jyothsna Padmakumar Bindu +2
Humans generally teach their fellow collaborators to perform tasks through a small number of demonstrations. The learnt task is corrected or extended to meet specific task goals by…
Self-Evaluation in One-Shot Learning from Demonstration of Contact-Intensive Tasks
Mythra V. Balakuntala, L. N. Vishnunandan Venkatesh, Jyothsna Padmakumar Bindu +1
Humans naturally "program" a fellow collaborator to perform a task by demonstrating the task few times. It is intuitive, therefore, for a human to program a collaborative robot by…
Robotic Materials
Nikolaus Correll, Ray Baughman, Richard Voyles +2
The Computing Community Consortium (CCC) sponsored a workshop on "Robotic Materials" in Washington, DC, that was held from April 23-24, 2018. This workshop was the second in a seri…
DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots
Naveen Madapana, Md Masudur Rahman, Natalia Sanchez-Tamayo +10
Datasets are an essential component for training effective machine learning models. In particular, surgical robotic datasets have been key to many advances in semi-autonomous surge…
ExpressionBot: An Emotive Lifelike Robotic Face for Face-to-Face Communication
Ali Mollahosseini, Gabriel Graitzer, Eric Borts +4
This article proposes an emotive lifelike robotic face, called ExpressionBot, that is designed to support verbal and non-verbal communication between the robot and humans, with the…
eBear: An Expressive Bear-Like Robot
Xiao Zhang, Ali Mollahosseini, Amir H. Kargar B. +4
This paper presents an anthropomorphic robotic bear for the exploration of human-robot interaction including verbal and non-verbal communications. This robot is implemented with a…