activity
20232026
most citedNatural Language Instructions for Intuitive Human Interaction with Robotic Assistants in Field Construction Work

53 citations · 113 across the 11 of their papers we have counts for

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Showing 2025Show all

4 papers · 1 filter

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.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★ 1 cited

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…