Results on Range Image Segmentation for Service Robots

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Control design for robotic systems is complex and often requires solving an optimization to follow a trajectory accurately. Online optimization approaches like Model Predictive Control (MPC) have been shown to achieve great tracking performance, but requir ...

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

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In this paper, we propose a reduced-order modeling strategy for two-way Dirichlet-Neumann parametric coupled problems solved with domain-decomposition (DD) sub-structuring methods. We split the original coupled differential problem into two sub-problems wi ...

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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 ...

Driven by the need for more efficient and seamless integration of physical models and data, physics -informed neural networks (PINNs) have seen a surge of interest in recent years. However, ensuring the reliability of their convergence and accuracy remains ...

Autonomous robots have the potential to fundamentally transform conventional farming methods, e.g. by enabling economically viable farming of sloped arable land. However, navigation on slopes in harsh conditions is challenging for robots as they must be pr ...

The invention relates to methods for the preparation of method of preparation of Tau aggregates, including fibrils, fibrillar species, soluble and insoluble oligomeric species, new Tau aggregates and uses thereof. The invention further relates to the uses ...

Model-based reinforcement learning for robot control offers the advantages of overcoming concerns on data collection and iterative processes for policy improvement in model-free methods. However, both methods use exploration strategy relying on heuristics ...

The use of aerial vehicles for exploration and data collection has the potential to significantly aid environmental monitoring in environments which are dangerous and hard to navigate. However, within these environments navigation can often be restricted b ...

Results on Range Image Segmentation for Service Robots

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Training Efficient Controllers via Analytic Policy Gradient

Efficient Continual Finite-Sum Minimization

Avian-Inspired Claws Enable Robot Perching or Walking

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Computational Models of Mutual Understanding for Human-Robot Collaborative Learning

Self-Correcting Quadratic Programming-Based Robot Control

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

Residual-based attention in physics-informed neural networks

Automation in steep terrain agriculture: an optimal controller to prevent tipping and slipping of tethered robots on slopes

Method of preparation of amyloidogenic protein aggregates and uses thereof

Exploration-based model learning with self-attention for risk-sensitive robot control

Heading for the Abyss: Control Strategies for Exploiting Swinging of a Descending Tethered Aerial Robot