Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion

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Planning multicontact motions in a receding horizon fashion requires a value function to guide the planning with respect to the future, e.g., building momentum to traverse large obstacles. Traditionally, the value function is approximated by computing traj ...

As demonstrated by the Soft Robotics Toolkit Platform, compliant robotics pose an exciting educational opportunity. Underwater robotics using soft undulating fins is an expansive research topic with applications such as exploration of underwater life or re ...

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Herein, machine learning (ML) models using multiple linear regression (MLR), support vector regression (SVR), random forest (RF) and artificial neural network (ANN) are developed and compared to predict the output features viz. specific capacitance (Csp), ...

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In light of the challenges posed by climate change and the goals of the Paris Agreement, electricity generation is shifting to a more renewable and decentralized pattern, while the operation of systems like buildings is increasingly electrified. This calls ...

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We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion

Chat with Graph Search

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Educational Soft Underwater Robot with an Electromagnetic Actuation

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Edible Soft Actuators based on Konjac Glucomannan for Underwater Operation

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

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Random matrix methods for high-dimensional machine learning models

Avoidance of Concave Obstacles Through Rotation of Nonlinear Dynamics

GELEX: Generative AI-Hybrid System for Example-Based Learning

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

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Frequency response of fiber reinforced DEAs

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Implicit Distance Functions: Learning and Applications in Robotics

Self-Correcting Quadratic Programming-Based Robot Control

Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial

Accessible Soft Robotics Education with Re-configurable Balloon Robots

Neuromechanical Simulations of Animats with Decentralised Control

Distributional Regression and Autoregression via Optimal Transport