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 (CBS, 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 (ICORR, 2019)

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)

Learning a Shared Model for Motorized Prosthetic Joints to Predict Ankle-Joint Motion. - Sharmita Dey; Sabri Boughorbel; Arndt F. Schilling (CoRR, 2021)

Data-driven Gait-predictive Model for Anticipatory Prosthesis Control. - Sharmita Dey; Arndt F. Schilling (ICORR, 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 (IROS, 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 001; Ali-akbar Agha-mohammadi (IROS, 2022)

Why Hard Code the Bionic Limbs When They Can Learn From Humans? - Sharmita Dey; Niklas De Schultz; Arndt F. Schilling (ICORR, 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)

ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting. - Sharmita Dey; Sarath Ravindran Nair (NeurIPS, 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; et al. (CoRR, 2024)

Embracing Large Language and Multimodal Models for Prosthetic Technologies. - Sharmita Dey; Arndt F. Schilling (CoRR, 2024)

Enhancing Joint Motion Prediction for Individuals with Limb Loss Through Model Reprogramming. - Sharmita Dey; Sarath R. Nair (CoRR, 2024)

Continual Imitation Learning for Prosthetic Limbs. - Sharmita Dey; Benjamin Paassen; Sarath R. Nair; Sabri Boughorbel; Arndt F. Schilling (CoRR, 2024)

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 Burdick (Field Robotics, 2024)

Continual Learning from Simulated Interactions via Multitask Prospective Rehearsal for Bionic Limb Behavior Modeling. - Sharmita Dey; Benjamin Paassen; Sarath Ravindran Nair; Sabri Boughorbel; Arndt F. Schilling (Trans. Mach. Learn. Res., 2025)

Redefining Robot Generalization Through Interactive Intelligence. - Sharmita Dey (CoRR, 2025)

Cross-Modal Diffusion for Biomechanical Dynamical Systems Through Local Manifold Alignment. - Sharmita Dey; Sarath Ravindran Nair (CoRR, 2025)

An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments. - Ali Agha; Kyohei Otsu; Benjamin Morrell; David D. Fan; Sung-Kyun Kim; Muhammad Fadhil Ginting; Xianmei Lei; Jeffrey A. Edlund; Seyed Abolfazl Fakoorian; Amanda Bouman; Fernando Chavez; Taeyeon Kim; et al. (CoRR, 2025)