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Kyle Lockwood
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2020 – today
- 2023
- [c4]Sadjad Asghari-Esfeden, Garrit Strenge, Kyle Lockwood, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Mathew Yarossi, Eugene Tunik, Taskin Padir, Deniz Erdogmus:
Real-Time Object Localization for Human-Robot Handover. PETRA 2023: 42-46 - [c3]Kyle Lockwood, Garrit Strenge, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Taskin Padir, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi:
Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. RO-MAN 2023: 2259-2266 - 2022
- [c2]Kyle Lockwood, Yunus Bicer, Sadjad Asghari-Esfeden, Tianjie Zhu, Mariusz P. Furmanek, Madhur Mangalam, Garrit Strenge, Tales Imbiriba, Mathew Yarossi, Taskin Padir, Deniz Erdogmus, Eugene Tunik:
Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover. PETRA 2022: 247-253 - 2021
- [j1]Mariusz P. Furmanek, Madhur Mangalam, Kyle Lockwood, Andrea Smith, Mathew Yarossi, Eugene Tunik:
Effects of Sensory Feedback and Collider Size on Reach-to-Grasp Coordination in Haptic-Free Virtual Reality. Frontiers Virtual Real. 2: 648529 (2021) - [c1]Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus:
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. EMBC 2021: 763-766 - [i1]Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus:
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. CoRR abs/2110.06089 (2021)
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