Optical Character Recognition for Sanskrit Using Convolution Neural Networks. - Avadesh Meduri; Navneet Goyal (DAS, 2018)

An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research. - Felix Grimminger; Avadesh Meduri; Majid Khadiv; Julian Viereck; Manuel Wüthrich; Maximilien Naveau; Vincent Berenz; Steve Heim; Felix Widmaier; Jonathan Fiene; Alexander Badri-Spröwitz; Ludovic Righetti (CoRR, 2019)

MangoNet: A deep semantic segmentation architecture for a method to detect and count mangoes in an open orchard. - Ramesh Kestur; Avadesh Meduri; Omkar Narasipura (Eng. Appl. Artif. Intell., 2019)

Efficient Multi-Contact Pattern Generation with Sequential Convex Approximations of the Centroidal Dynamics. - Brahayam Ponton; Majid Khadiv; Avadesh Meduri; Ludovic Righetti (CoRR, 2020)

An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research. - Felix Grimminger; Avadesh Meduri; Majid Khadiv; Julian Viereck; Manuel Wüthrich; Maximilien Naveau; Vincent Berenz; Steve Heim; Felix Widmaier; Thomas Flayols; Jonathan Fiene; Alexander Badri-Spröwitz; et al. (IEEE Robotics Autom. Lett., 2020)

High-Frequency Nonlinear Model Predictive Control of a Manipulator. - Sébastien Kleff; Avadesh Meduri; Rohan Budhiraja; Nicolas Mansard; Ludovic Righetti (ICRA, 2021)

DeepQ Stepper: A framework for reactive dynamic walking on uneven terrain. - Avadesh Meduri; Majid Khadiv; Ludovic Righetti (ICRA, 2021)

Rapid Convex Optimization of Centroidal Dynamics using Block Coordinate Descent. - Paarth Shah; Avadesh Meduri; Wolfgang Merkt; Majid Khadiv; Ioannis Havoutis; Ludovic Righetti (IROS, 2021)

Efficient Multicontact Pattern Generation With Sequential Convex Approximations of the Centroidal Dynamics. - Brahayam Ponton; Majid Khadiv; Avadesh Meduri; Ludovic Righetti (IEEE Trans. Robotics, 2021)

ValueNetQP: Learned One-step Optimal Control for Legged Locomotion. - Julian Viereck; Avadesh Meduri; Ludovic Righetti (L4DC, 2022)

Visual-Inertial and Leg Odometry Fusion for Dynamic Locomotion. - Victor Dhédin; Haolong Li; Shahram Khorshidi; Lukas Mack; Adithya Kumar Chinnakkonda Ravi; Avadesh Meduri; Paarth Shah; Felix Grimminger; Ludovic Righetti; Majid Khadiv; Joerg Stueckler (ICRA, 2023)

MPC with Sensor-Based Online Cost Adaptation. - Avadesh Meduri; Huaijiang Zhu; Armand Jordana; Ludovic Righetti (ICRA, 2023)

Efficient Object Manipulation Planning with Monte Carlo Tree Search. - Huaijiang Zhu; Avadesh Meduri; Ludovic Righetti (IROS, 2023)

Learning Locomotion Skills from MPC in Sensor Space. - Majid Khadiv; Avadesh Meduri; Huaijiang Zhu; Ludovic Righetti; Bernhard Schölkopf (L4DC, 2023)

BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning. - Avadesh Meduri; Paarth Shah; Julian Viereck; Majid Khadiv; Ioannis Havoutis; Ludovic Righetti (IEEE Trans. Robotics, 2023)

Diffusion-based learning of contact plans for agile locomotion. - Victor Dhédin; Adithya Kumar Chinnakkonda Ravi; Armand Jordana; Huaijiang Zhu; Avadesh Meduri; Ludovic Righetti; Bernhard Schölkopf; Majid Khadiv (Humanoids, 2024)

Risk-Sensitive Extended Kalman Filter. - Armand Jordana; Avadesh Meduri; Etienne Arlaud; Justin Carpentier; Ludovic Righetti (ICRA, 2024)

ContactNet: Online Multi-Contact Planning for Acyclic Legged Robot Locomotion. - Angelo Bratta; Avadesh Meduri; Michele Focchi; Ludovic Righetti; Claudio Semini (UR, 2024)

Efficient Search and Learning for Agile Locomotion on Stepping Stones. - Adithya Kumar Chinnakkonda Ravi; Victor Dhédin; Armand Jordana; Huaijiang Zhu; Avadesh Meduri; Ludovic Righetti; Bernhard Schölkopf; Majid Khadiv (CoRR, 2024)

Structure-Exploiting Sequential Quadratic Programming for Model-Predictive Control. - Armand Jordana; Sébastien Kleff; Avadesh Meduri; Justin Carpentier; Nicolas Mansard; Ludovic Righetti (IEEE Trans. Robotics, 2025)

Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations. - Sarmad Mehrdad; Avadesh Meduri; Ludovic Righetti (CoRR, 2025)