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🔍 philip hackney 📂 Engineering 📄 Preprint
Showing 56 results for "philip hackney" in Engineering · Preprint
Engineering Preprint PDF DOI

Divergence-Guided Particle Swarm Optimization

Kleyton da Costa, Bernardo Modenesi, Ivan F.M. Menezes, Helio Lopes · 2026

Particle Swarm Optimization (PSO) is susceptible to premature convergence when the swarm collapses around the global best, particularly on multimodal landscapes in higher dimensions. We propose Diverg…

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Engineering Preprint PDF DOI

Efficient and Versatile Quadrupedal Skating: Optimal Co-design via Reinforcement Learning and Bayesian Optimization

Hanwen Wang, Zhenlong Fang, Josiah Hanna, Xiaobin Xiong · 2026

In this paper, we present a hardware-control co-design approach that enables efficient and versatile roller skating on quadrupedal robots equipped with passive wheels. Passive-wheel skating reduces le…

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Engineering Preprint PDF DOI

Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning

Irene Ambrosini, Ingo Blakowski, Dmitrii Zendrikov, Cristiano Capone, Luna Gava, Giacomo Indiveri, Chiara De Luca, Chiara Bartolozzi · 2026

Air hockey demands split-second decisions at high puck velocities, a challenge we address with a compact network of spiking neurons running on a mixed-signal analog/digital neuromorphic processor. By …

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Engineering Preprint PDF DOI

Field-programmable dynamics in a soft magnetic actuator enabling true random number generation and reservoir computing

Eduardo Sergio Oliveros-Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Monica Navarro Lopez, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Canon Bermudez, Francesca Garesci, Giovanni Finocchio, Denys Makarov · 2025

Complex and even chaotic dynamics, though prevalent in many natural and engineered systems, has been largely avoided in the design of electromechanical systems due to concerns about wear and controlab…

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Engineering Preprint PDF DOI

Patient-Adaptive Focused Transmit Beamforming using Cognitive Ultrasound

Wessel L. van Nierop, Oisin Nolan, Tristan S.W. Stevens, Ruud J.G. van Sloun · 2025

Focused transmit beamforming is the most commonly used acquisition scheme for echocardiograms, but suffers from relatively low frame rates, and in 3D, even lower volume rates. Fast imaging based on un…

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Engineering Preprint PDF DOI

Benchmarking Shortcutting Techniques for Multi-Robot-Arm Motion Planning

Philip Huang, Yorai Shaoul, Jiaoyang Li · 2025

Generating high-quality motion plans for multiple robot arms is challenging due to the high dimensionality of the system and the potential for inter-arm collisions. Traditional motion planning methods…

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Engineering Preprint PDF DOI

Multi-Objective Optimization Algorithms for Energy Management Systems in Microgrids: A Control Strategy Based on a PHIL System

Saiful Islam, Sanaz Mostaghim, Michael Hartmann · 2025

In this research a real time power hardware in loop configuration has been implemented for an microgrid with the combination of distribution energy resources such as photovoltaic, grid tied inverter, …

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Engineering Preprint PDF DOI

Towards Safe Robot Foundation Models Using Inductive Biases

Maximilian Tolle, Theo Gruner, Daniel Palenicek, Tim Schneider, Jonas Gunster, Joe Watson, Davide Tateo, Puze Liu, Jan Peters · 2025

Safety is a critical requirement for the real-world deployment of robotic systems. Unfortunately, while current robot foundation models show promising generalization capabilities across a wide variety…

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Engineering Preprint PDF DOI

PP-Tac: Paper Picking Using Tactile Feedback in Dexterous Robotic Hands

Pei Lin, Yuzhe Huang, Wanlin Li, Jianpeng Ma, Chenxi Xiao, Ziyuan Jiao · 2025

Robots are increasingly envisioned as human companions, assisting with everyday tasks that often involve manipulating deformable objects. Although recent advances in robotic hardware and embodied AI h…

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Engineering Preprint PDF DOI

Towards Safe Robot Foundation Models

Maximilian Tolle, Theo Gruner, Daniel Palenicek, Jonas Gunster, Puze Liu, Joe Watson, Davide Tateo, Jan Peters · 2025

Robot foundation models hold the potential for deployment across diverse environments, from industrial applications to household tasks. While current research focuses primarily on the policies' genera…

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Engineering Preprint PDF DOI

Benchmarking of GPU-optimized Quantum-Inspired Evolutionary Optimization Algorithm using Functional Analysis

Kandula Eswara Sai Kumar, Supreeth B S, Rajas Dalvi, Aman Mittal, Aakif Akhtar, Ferdin Don Bosco, Rut Lineswala, Abhishek Chopra · 2024

This article presents a comparative analysis of GPU-parallelized implementations of the quantum-inspired evolutionary optimization (QIEO) approach and one of the well-known classical metaheuristic tec…

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Engineering Preprint PDF DOI

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net

William Pham, Alexander Jarema, Donggyu Rim, Zhibin Chen, Mohamed S. H. Khlif, Vaughan G. Macefield, Luke A. Henderson, Amy Brodtmann · 2024

Background: Enlargement of perivascular spaces (PVS) is common in neurodegenerative disorders including cerebral small vessel disease, Alzheimer's disease, and Parkinson's disease. PVS enlargement may…

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Engineering Preprint PDF DOI

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics

Puze Liu, Jonas Gunster, Niklas Funk, Simon Groger, Dong Chen, Haitham Bou-Ammar, Julius Jankowski, Ante Maric, Sylvain Calinon, Andrej Orsula, Miguel Olivares-Mendez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan Peters · 2024

Machine learning methods have a groundbreaking impact in many application domains, but their application on real robotic platforms is still limited. Despite the many challenges associated with combini…

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Engineering Preprint PDF DOI

Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications

Xilun Zhang, Shiqi Liu, Peide Huang, William Jongwon Han, Yiqi Lyu, Mengdi Xu, Ding Zhao · 2024

Sim-to-real transfer remains a significant challenge in robotics due to the discrepancies between simulated and real-world dynamics. Traditional methods like Domain Randomization often fail to capture…

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Engineering Preprint PDF DOI

Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance

Kin Man Lee, Sean Ye, Qingyu Xiao, Zixuan Wu, Zulfiqar Zaidi, David B. D'Ambrosio, Pannag R. Sanketi, Matthew Gombolay · 2024

Advances in robot learning have enabled robots to generate skills for a variety of tasks. Yet, robot learning is typically sample inefficient, struggles to learn from data sources exhibiting varied be…

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Engineering Preprint PDF DOI

Cooperative distributed model predictive control for embedded systems: Experiments with hovercraft formations

Gosta Stomberg, Roland Schwan, Andrea Grillo, Colin N. Jones, Timm Faulwasser · 2024

This paper presents experiments for embedded cooperative distributed model predictive control applied to a team of hovercraft floating on an air hockey table. The hovercraft collectively solve a centr…

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Engineering Preprint PDF DOI

Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning

Piotr Kicki, Davide Tateo, Puze Liu, Jonas Guenster, Jan Peters, Krzysztof Walas · 2024

Trajectory planning under kinodynamic constraints is fundamental for advanced robotics applications that require dexterous, reactive, and rapid skills in complex environments. These constraints, which…

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Engineering Preprint PDF DOI

Stable-BC: Controlling Covariate Shift with Stable Behavior Cloning

Shaunak A. Mehta, Yusuf Umut Ciftci, Balamurugan Ramachandran, Somil Bansal, Dylan P. Losey · 2024

Behavior cloning is a common imitation learning paradigm. Under behavior cloning the robot collects expert demonstrations, and then trains a policy to match the actions taken by the expert. This works…

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Engineering Preprint PDF DOI

Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey

Julius Jankowski, Ante Maric, Puze Liu, Davide Tateo, Jan Peters, Sylvain Calinon · 2024

Robot control through contact is challenging as it requires reasoning over long horizons and discontinuous system dynamics. Highly dynamic tasks such as Air Hockey additionally require agile behavior,…

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Engineering Preprint PDF DOI

Dynamic Walking on Highly Underactuated Point Foot Humanoids: Closing the Loop between HZD and HLIP

Adrian B. Ghansah, Jeeseop Kim, Kejun Li, Aaron D. Ames · 2024

Realizing bipedal locomotion on humanoid robots with point feet is especially challenging due to their highly underactuated nature, high degrees of freedom, and hybrid dynamics resulting from impacts.…

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