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There is a growing need for robots that can change their shape, size and mechanical properties to adapt to evolving tasks and environments. However, current shape-changing systems generally utilize bespoke, system-specific mechanisms that…

Robotics · Computer Science 2026-04-24 Niklas Hagemann , Daniela Rus

Crawling is a common locomotion mechanism in soft robots and nonskeletal animals. In this work we propose modeling soft-robotic legged locomotion by approximating it with an equivalent articulated robot with elastic joints. For concreteness…

Soft Condensed Matter · Physics 2020-01-22 Benny Gamus , Lior Salem , Amir D. Gat , Yizhar Or

This paper presents the design and dynamic modelling of a soft pneumatic actuator that can be used to mimic snake or worm-like locomotion. The bond graph technique is used to derive the dynamics of the actuator. To validate the accuracy of…

Robotics · Computer Science 2022-02-24 Garima Bhandari , Pushparaj Mani Pathak , Jung-Min Yang

A modular, maintainable and extensible particle beam simulation architecture is presented. Design considerations for single particle, multi particle, and rms envelope simulations (in two and three dimensions) are outlined. Envelope…

Computational Physics · Physics 2007-05-23 Nicholas D. Pattengale , Christopher K. Allen

Classical rigid-bodied robotic systems are presented with proven success in theoretical development and industrial applications, are recently challenged by the emergence of soft robotics due to a growing need in physical human-robot…

Robotics · Computer Science 2020-03-03 Yaohui Chen , Sing Le , Qiao Chu Tan , Oscar Lau , Fang Wan , Chaoyang Song

Autonomous robots have the potential to serve as versatile caregivers that improve quality of life for millions of people worldwide. Yet, conducting research in this area presents numerous challenges, including the risks of physical…

Robotics · Computer Science 2019-10-11 Zackory Erickson , Vamsee Gangaram , Ariel Kapusta , C. Karen Liu , Charles C. Kemp

The simulation of multi-body systems with frictional contacts is a fundamental tool for many fields, such as robotics, computer graphics, and mechanics. Hard frictional contacts are particularly troublesome to simulate because they make the…

Robotics · Computer Science 2022-04-19 Bilal Hammoud , Luca Olivieri , Ludovic Righetti , Justin Carpentier , Andrea Del Prete

The manual design of soft robots and their controllers is notoriously challenging, but it could be augmented---or, in some cases, entirely replaced---by automated design tools. Machine learning algorithms can automatically propose, test,…

Physically-realistic simulated environments are powerful platforms for enabling measurable, replicable and statistically-robust investigation of complex robotic systems. Such environments are epitomised by the RoboCup simulation leagues,…

Robotics · Computer Science 2014-12-19 David M Budden , Peter Wang , Oliver Obst , Mikhail Prokopenko

Autonomous learning of dexterous, long-horizon robotic skills has been a longstanding pursuit of embodied AI. Recent advances in robotic reinforcement learning (RL) have demonstrated remarkable performance and robustness in real-world…

We investigate the use of programmable optical lattices for quantum simulation of Hubbard models, determining analytic expressions for the hopping and Hubbard U, finding that they are suitable for emulating strongly correlated systems with…

Strongly Correlated Electrons · Physics 2021-12-01 J. P. Hague , L. Petit , C. MacCormick

In recent years, computer simulators of rigid-body systems have been successfully used to improve and expand the field of developing new space robots, becoming a leading tool for the preliminary investigation and evaluation of space robotic…

Robotics · Computer Science 2023-04-26 Simone Asci , Angadh Nanjangud

The system design and algorithm development of mobile 3D printing robots need a realistic simulation. They require a mobile robot simulation platform to interoperate with a physics-based material simulation for handling interactions between…

Robotics · Computer Science 2021-10-12 Uljad Berdica , Yuewei Fu , Yuchen Liu , Emmanouil Angelidis , Chen Feng

The isolation and control of disparate degrees of freedom underpin quantum simulators. We advance the programmability of cold atom quantum simulators with a first realization of the dynamic interplay of spatial and spin degrees of freedom.…

Multibody dynamics simulators are an important tool in many fields, including learning and control for robotics. However, many existing dynamics simulators suffer from inaccuracies when dealing with constrained mechanical systems due to…

Robotics · Computer Science 2023-11-07 Jan Brüdigam , Stefan Sosnowski , Zachary Manchester , Sandra Hirche

As cities evolve toward more complex and multimodal transportation systems, the need for human-centered multi-agent simulation tools has never been more urgent. Yet most existing platforms remain limited - they often separate different…

Multiagent Systems · Computer Science 2025-07-16 Shiva Azimi , Arash Tavakoli

WavePacket is an open-source program package for numerical simulations in quantum dynamics. Building on the previous Part I [Comp. Phys. Comm. 213, 223-234 (2017)] and Part II [Comp. Phys. Comm. 228, 229-244 (2018)] which dealt with quantum…

Computational Physics · Physics 2023-02-09 Burkhard Schmidt , Rupert Klein , Leonardo Cancissu Araujo

The design and analysis of pallet setups are essential for ensuring safety of packages transportation. With rising demands in the logistics sector, the development of automated systems utilizing advanced technologies has become increasingly…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Samuel Seligardi , Pietro Musoni , Eleonora Iotti , Gianluca Contesso , Alessandro Dal Palù

We present Orbit, a unified and modular framework for robot learning powered by NVIDIA Isaac Sim. It offers a modular design to easily and efficiently create robotic environments with photo-realistic scenes and high-fidelity rigid and…

Use of physics-based simulation as a planning model enables a planner to reason and generate plans that involve non-trivial interactions with the world. For example, grasping a milk container out of a cluttered refrigerator may involve…

Robotics · Computer Science 2020-03-17 Muhammad Suhail Saleem , Maxim Likhachev