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07/11/2023
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning
In this paper, we propose to estimate the forward dynamics equations of ...
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01/30/2023
Learning Control from Raw Position Measurements
We propose a Model-Based Reinforcement Learning (MBRL) algorithm named V...
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12/02/2021
Control of over-redundant cooperative manipulation via sampled communication
In this work we consider the problem of mobile robots that need to manip...
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11/30/2021
Coordinated Multi-Robot Trajectory Tracking over Sampled Communication
In this paper, we propose an inverse-kinematics controller for a class o...
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11/03/2021
EASE: Energy-Aware job Scheduling for vehicular Edge networks with renewable energy resources
The energy sustainability of multi-access edge computing (MEC) platforms...
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04/26/2021
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models
In this paper, we consider the use of black-box Gaussian process (GP) mo...
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01/28/2021
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
In this paper, we present a Model-Based Reinforcement Learning algorithm...
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01/21/2021
Model-based Policy Search for Partially Measurable Systems
In this paper, we propose a Model-Based Reinforcement Learning (MBRL) al...
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04/24/2020
Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization
We propose a unified framework for time-varying convex optimization base...
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11/19/2019
Nonlinear Model Predictive Control with Actuator Constraints for Multi-Rotor Aerial Vehicles
In this paper we propose, test, and validate an online Nonlinear Model P...
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05/20/2019
A novel Multiplicative Polynomial Kernel for Volterra series identification
Volterra series are especially useful for nonlinear system identificatio...
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04/30/2019
A novel geometrically inspired polynomial kernel for robot inverse dynamics
In this paper we introduce a novel data driven inverse dynamics estimato...
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03/11/2019
Robot kinematic structure classification from time series of visual data
In this paper we present a novel algorithm to solve the robot kinematic ...
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05/03/2017
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering
In this work we study the non-parametric reconstruction of spatio-tempor...
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07/22/2014