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20232026
most citedReal-Time Model-Free Deep Reinforcement Learning for Force Control of a Series Elastic Actuator

5 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

ADMM-Based Safety-Critical Distributed NMPC for Cooperative Transportation by Quadrupedal Robots

Ruturaj S. Sambhus, Kapi Ketan Mehta, Yicheng Zeng +1

This paper presents a safety-critical distributed nonlinear model predictive control (DNMPC) framework for cooperative payload transportation by teams of quadrupedal robots. The pr…

cs.RO2026

Safety-Critical Centralized Nonlinear MPC for Cooperative Payload Transportation by Two Quadrupedal Robots

Ruturaj S. Sambhus, Yicheng Zeng, Kapi Ketan Mehta +2

This paper presents a safety-critical centralized nonlinear model predictive control (NMPC) framework for cooperative payload transportation by two quadrupedal robots. The intercon…

cs.RO2026

ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion

Yicheng Zeng, Ruturaj S. Sambhus, Basit Muhammad Imran +3

This paper proposes a fully decentralized model predictive control (MPC) framework with control barrier function (CBF) constraints for safety-critical trajectory planning in multi-…

cs.RO2025

Teleoperator-Aware and Safety-Critical Adaptive Nonlinear MPC for Shared Autonomy in Obstacle Avoidance of Legged Robots

Ruturaj Sambhus, Muneeb Ahmad, Basit Muhammad Imran +3

Ensuring safe and effective collaboration between humans and autonomous legged robots is a fundamental challenge in shared autonomy, particularly for teleoperated systems navigatin…

cs.RO2025

A Nonlinear MPC Framework for Loco-Manipulation of Quadrupedal Robots with Non-Negligible Manipulator Dynamics

Ruturaj Sambhus, Kapi Ketan Mehta, Ali MirMohammad Sadeghi +6

Model predictive control (MPC) combined with reduced-order template models has emerged as a powerful tool for trajectory optimization in dynamic legged locomotion. However, loco-ma…

cs.LG2023★ 5 cited

Real-Time Model-Free Deep Reinforcement Learning for Force Control of a Series Elastic Actuator

Ruturaj Sambhus, Aydin Gokce, Stephen Welch +2

Many state-of-the art robotic applications utilize series elastic actuators (SEAs) with closed-loop force control to achieve complex tasks such as walking, lifting, and manipulatio…