Kyle Lockwood

Northeastern University — United States

Engineering · Physical Sciences

3h-index35citations14works0.82yr avg
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Research Topics

Robot Manipulation and Learning(4), Social Robot Interaction and HRI(4), Muscle activation and electromyography studies(4), Motor Control and Adaptation(4), Transcranial Magnetic Stimulation Studies(3)

Publications14 total

Modeling human lay error on stationary targets with the generalized normal distribution
The Journal of Defense Modeling and Simulation Applications Methodology Technology·2025
Involvement of aSPOC in the Online Updating of Reach-to-Grasp to Mechanical Perturbations of Hand Transport
Journal of Neuroscience·2025· 3 citedOpen Access
A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems
IEEE Transactions on Biomedical Engineering·2024
Anticipatory Gaze Dynamics in Human-to-Human Object Handover
2024
M2M-InvNet: Human Motor Cortex Mapping From Multi-Muscle Response Using TMS and Generative 3D Convolutional Network
IEEE Transactions on Neural Systems and Rehabilitation Engineering·2024· 2 citedOpen Access
Leveraging submovements for prediction and trajectory planning in human-robot handover
2024Open Access
Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers
2023· 4 cited
Real-Time Object Localization for Human-Robot Handover
2023· 2 cited
M2M-InvNet: Human Motor Cortex Mapping from Multi-Muscle Response Using TMS and Generative 3D Convolutional Network
2022Open Access
Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover
2022· 3 cited
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)·2021· 7 citedOpen Access
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models
arXiv (Cornell University)·2021Open Access
Effects of Sensory Feedback and Collider Size on Reach-to-Grasp Coordination in Haptic-Free Virtual Reality
Frontiers in Virtual Reality·2021· 14 citedOpen Access
A kinematic and EMG dataset of online adjustment of reach-to-grasp movements to visual perturbations
Figshare·2021Open Access

Frequent Co-authors

Mathew Yarossi(10), Eugene Tunik(10), Deniz Erdoğmuş(10), Mariusz P. Furmanek(6), Tales Imbiriba(6), Sumientra Rampersad(5), Garrit Strenge(5), Madhur Mangalam(4), Yunus Bicer(4), Taşkın Padır(4), Elie Alhajjar(3), Giovanna Guidoboni(3), Zachary C. Danziger(3), Sadjad Asghari-Esfeden(2), Md Navid Akbar(2), Aria Masoomi(2), Dana H. Brooks(2), Ahmet Demirkaya(2), A. Brandon Smith(1), Ahmet Demirkaya(1)