40 citations · 58 across the 8 of their papers we have counts for
4 papers · 1 filter
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills
Seiji Shaw, Devesh K. Jha, Arvind Raghunathan +4
Dynamic movement primitives are widely used for learning skills which can be demonstrated to a robot by a skilled human or controller. While their generalization capabilities and s…
PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation
Arvind Raghunathan, Devesh K. Jha, Diego Romeres
PYROBOCOP is a Python-based package for control, optimization and estimation of robotic systems described by nonlinear Differential Algebraic Equations (DAEs). In particular, the p…
Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation
Yuki Shirai, Devesh K. Jha, Arvind Raghunathan +1
This paper presents a chance-constrained formulation for robust trajectory optimization during manipulation. In particular, we present a chance-constrained optimization for Stochas…
PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PYROBOCOP is a lightweight Python-based package for control and optimization of robotic systems described by nonlinear Differential Algebraic Equations (DAEs). In particular, the p…