collaborators

6 papers

cs.RO2026

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…

cs.RO2025

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…

cs.HC2025

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

Interoceptive Robots for Convergent Shared Control in Collaborative Construction Work

Xiaoshan Zhou, Carol C. Menassa, Vineet R. Kamat

Building autonomous mobile robots (AMRs) with optimized efficiency and adaptive capabilities-able to respond to changing task demands and dynamic environments-is a strongly desired…