53 citations · 113 across the 11 of their papers we have counts for
11 papers
Advancing Improvisation in Human-Robot Construction Collaboration: Taxonomy and Research Roadmap
David Wireko Atibila, Vineet R. Kamat, Carol C. Menassa
The construction industry faces productivity stagnation, skilled labor shortages, and safety concerns. While robotic automation offers solutions, construction robots struggle to ad…
Feasibility of Embodied Dynamics Based Bayesian Learning for Continuous Pursuit Motion Control of Assistive Mobile Robots in the Built Environment
Xiaoshan Zhou, Carol C. Menassa, Vineet R. Kamat
Non-invasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) offer an intuitive means for individuals with severe motor impairments to independently operate ass…
Generalizable Skill Learning for Construction Robots with Crowdsourced Natural Language Instructions, Composable Skills Standardization, and Large Language Model
Hongrui Yu, Vineet R. Kamat, Carol C. Menassa
The quasi-repetitive nature of construction work and the resulting lack of generalizability in programming construction robots presents persistent challenges to the broad adoption…
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving
Xiaoshan Zhou, Carol C. Menassa, Vineet R. Kamat
Robots with wheeled, quadrupedal, or humanoid forms are increasingly integrated into built environments. However, unlike human social learning, they lack a critical pathway for int…
Towards Probabilistic Inference of Human Motor Intentions by Assistive Mobile Robots Controlled via a Brain-Computer Interface
Xiaoshan Zhou, Carol M. Menassa, Vineet R. Kamat
Assistive mobile robots are a transformative technology that helps persons with disabilities regain the ability to move freely. Although autonomous wheelchairs significantly reduce…
Socially-Aware Shared Control Navigation for Assistive Mobile Robots in the Built Environment
Yifan Xu, Qianwei Wang, Vineet Kamat +1
As the number of Persons with Disabilities (PWD), particularly those with one or more physical impairments, increases, there is an increasing demand for assistive robotic technolog…
Biologically Inspired Predictive Coding TCN-Transformer for Anticipatory Human-Robot Interaction in Shared Physical Spaces
Xiaoshan Zhou, Carol C. Menassa, Vineet R. Kamat
As mobile robots increasingly operate in environments shared with humans, proactively anticipating human motion rather than responding reactively is critical for preempting collisi…
Integrating Large Language Models with Multimodal Virtual Reality Interfaces to Support Collaborative Human-Robot Construction Work
Somin Park, Carol C. Menassa, Vineet R. Kamat
In the construction industry, where work environments are complex, unstructured and often dangerous, the implementation of Human-Robot Collaboration (HRC) is emerging as a promisin…
Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting Robots
Hongrui Yu, Vineet R. Kamat, Carol C. Menassa
Assigning repetitive and physically-demanding construction tasks to robots can alleviate human workers's exposure to occupational injuries. Transferring necessary dexterous and ada…
Natural Language Instructions for Intuitive Human Interaction with Robotic Assistants in Field Construction Work
Somin Park, Xi Wang, Carol C. Menassa +2
The introduction of robots is widely considered to have significant potential of alleviating the issues of worker shortage and stagnant productivity that afflict the construction i…
Enabling Building Information Model-Driven Human-Robot Collaborative Construction Workflows with Closed-Loop Digital Twins
Xi Wang, Hongrui Yu, Wes McGee +2
The introduction of assistive construction robots can significantly alleviate physical demands on construction workers while enhancing both the productivity and safety of construct…