Sharmita Dey

According to our database, Sharmita Dey authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Joint Motion Prediction for Individuals with Limb Loss Through Model Reprogramming.

Sharmita Dey, Sarath R. Nair

CoRR, 2024

Embracing Large Language and Multimodal Models for Prosthetic Technologies.

Sharmita Dey, Arndt F. Schilling

CoRR, 2024

Computer Vision for Primate Behavior Analysis in the Wild.

Richard Vogg, Timo Lüddecke, Jonathan Henrich, Sharmita Dey, Matthias Nuske, Valentin Hassler, Derek Murphy, Julia Fischer, Julia Ostner, Oliver Schülke, Peter M. Kappeler, Claudia Fichtel, Alexander Gail, Stefan Treue, Hansjörg Scherberger, Florentin Wörgötter, Alexander S. Ecker

CoRR, 2024

2023

A Function Approximator Model for Robust Online Foot Angle Trajectory Prediction Using a Single IMU Sensor: Implication for Controlling Active Prosthetic Feet.

Sharmita Dey, Arndt F. Schilling

IEEE Trans. Ind. Informatics, 2023

STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge.

Anushri Dixit, David D. Fan, Kyohei Otsu, Sharmita Dey, Ali-Akbar Agha-Mohammadi, Joel W. Burdick

CoRR, 2023

Why Hard Code the Bionic Limbs When They Can Learn From Humans?

Sharmita Dey, Niklas De Schultz, Arndt F. Schilling

Proceedings of the International Conference on Rehabilitation Robotics, 2023

2022

Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain.

Robin Schmid, Deegan Atha, Frederik Schöller, Sharmita Dey, Seyed Abolfazl Fakoorian, Kyohei Otsu, Barry Ridge, Marko Bjelonic, Lorenz Wellhausen, Marco Hutter, Ali-akbar Agha-mohammadi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains.

Sharmita Dey, David D. Fan, Robin Schmid, Anushri Dixit, Kyohei Otsu, Thomas Touma, Arndt F. Schilling, Ali-Akbar Agha-Mohammadi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Data-driven Gait-predictive Model for Anticipatory Prosthesis Control.

Sharmita Dey, Arndt F. Schilling

Proceedings of the International Conference on Rehabilitation Robotics, 2022

2021

Learning a Shared Model for Motorized Prosthetic Joints to Predict Ankle-Joint Motion.

Sharmita Dey, Sabri Boughorbel, Arndt F. Schilling

CoRR, 2021

A hybrid approach for dynamically training a torque prediction model for devising a human-machine interface control strategy.

Sharmita Dey, Takashi Yoshida, Robert H. Foerster, Michael Ernst, Thomas Schmalz, Rodrigo Matos Carnier, Arndt F. Schilling

CoRR, 2021

2019

A Support Vector Regression Approach for Continuous Prediction of Ankle Angle and Moment During Walking: An Implication for Developing a Control Strategy for Active Ankle Prostheses.

Sharmita Dey, Mahdy Eslamy, Takashi Yoshida, Michael Ernst, Thomas Schmalz, Arndt F. Schilling

Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

A Random Forest Approach for Continuous Prediction of Joint Angles and Moments During Walking: An Implication for Controlling Active Knee-Ankle Prostheses/Orthoses.

Sharmita Dey, Takashi Yoshida, Michael Ernst, Thomas Schmalz, Arndt F. Schilling

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019