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- Santiago Paternain, MatÃas TailaniÃ¡n, Rafael Canetti
- 2013 16th International Conference on Advancedâ€¦
- 2013

This paper presents a fast and low cost way to calibrate different inertial measurement sensors. In particular the calibration of an accelerometer and a gyroscope using nonlinear least squares isâ€¦ (More)

- Santiago Paternain, Alejandro R. Ribeiro
- IEEE Transactions on Automatic Control
- 2015

Define an environment as a set of convex constraint functions that vary arbitrarily over time and consider a cost function that is also convex and arbitrarily varying. Agents that operate in thisâ€¦ (More)

- Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado, Alejandro R. Ribeiro
- 2016 American Control Conference (ACC)
- 2016

This paper considers a class of convex optimization problems where both the objective function and the constraints have a continuous dependence on time. We develop an interior point method thatâ€¦ (More)

- Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado, Alejandro R. Ribeiro
- IEEE Transactions on Automatic Control
- 2018

In this paper, we develop an interior-point method for solving a class of convex optimization problems with time-varying objective and constraint functions. Using log-barrier penalty functions, weâ€¦ (More)

- Santiago Paternain, Daniel E. Koditschek, Alejandro R. Ribeiro
- IEEE Transactions on Automatic Control
- 2018

Given a convex potential in a space with convex obstacles, an artificial potential is used to navigate to the minimum of the natural potential while avoiding collisions. The artificial potentialâ€¦ (More)

- Alec Koppel, Santiago Paternain, CÃ©dric Richard, Alejandro R. Ribeiro
- 2017 IEEE Global Conference on Signal andâ€¦
- 2017

We consider stochastic optimization problems defined over reproducing kernel Hilbert spaces (RKHS), where a multi-agent network aims to learn decision functions, i.e., nonlinear statistical models,â€¦ (More)

- Mahyar Fazlyab, Santiago Paternain, Alejandro R. Ribeiro, Victor M. Preciado
- 2018 Annual American Control Conference (ACC)
- 2018

In this paper, we consider a class of decentralized convex optimization problems in which a network of agents aims to minimize a global objective function that is a sum of private (local) smooth andâ€¦ (More)

Navigation functions are a common alternative to navigate cluttered environments. The main idea is to combine repulsive potentials from the obstacles and an attractive potential with minimum at theâ€¦ (More)

- Santiago Paternain, Alejandro R. Ribeiro
- 2017 IEEE 56th Annual Conference on Decision andâ€¦
- 2017

Consider a convex set of which we remove an arbitrary number of disjoints convex sets â€” the obstacles â€” and a convex function whose minimum is the agent's goal. A solution to this problem under someâ€¦ (More)

- Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro R. Ribeiro
- IEEE Transactions on Signal Processing
- 2018

We consider multiagent stochastic optimization problems over reproducing kernel Hilbert spaces. In this setting, a network of interconnected agents aims to learn decision functions, i.e., nonlinearâ€¦ (More)