Media Summary: SoMo (Soft Motion) enables physically accurate Project website: softmimicgen.github.io/ Large-scale robot datasets have facilitated the learning of a wide range of robot ... ICRA 2018 Spotlight Video Interactive Session Wed PM Pod D.8 Authors: Pozzi, Maria; Miguel, Eder; Deimel, Raphael; Malvezzi, ...

Softmanisim A Fast Simulation Framework - Detailed Analysis & Overview

SoMo (Soft Motion) enables physically accurate Project website: softmimicgen.github.io/ Large-scale robot datasets have facilitated the learning of a wide range of robot ... ICRA 2018 Spotlight Video Interactive Session Wed PM Pod D.8 Authors: Pozzi, Maria; Miguel, Eder; Deimel, Raphael; Malvezzi, ... Remote magnetic navigation is a technology used to robotically steer magnetic medical instruments, such as magnetic catheters ... Modern, distributed systems are complex and present numerous challenges: concurrency, process crashes, message loss, ... MATRiX combines MuJoCo physics, Unreal Engine 5 rendering, and Real2Sim2Real pipelines to bridge

Paper (published at ICLR): Github: Across ...

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SoftManiSim  A Fast Simulation Framework for Multi Segment Continuum Manipulators
SoMo Simulation Framework - In-Hand Manipulation Matches Hardware (Soft Fingers)
SoftManiSim: A Fast Simulation Framework for Multi-Segment Continuum Manipulators.
Collision-Aware Fast Simulation for Soft Robots by Optimization-Based Geometric Computing
Multigait soft robot real-time simulation
SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation
Efficient FEM-Based Simulation of Soft Robots Modeled As Kinematic Chains
A Simulation Framework for Magnetic Continuum Robots
Training a Neural Network for Soft-Robots control using the SOFA simulator
Deterministic Simulation Testing, Dominik Tornow | FOSSASIA Summit 2025
Robots learn faster when simulation behaves like the real world.
Multifidelity simulation-based inference for computationally expensive simulators
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SoftManiSim  A Fast Simulation Framework for Multi Segment Continuum Manipulators

SoftManiSim A Fast Simulation Framework for Multi Segment Continuum Manipulators

In this video, we introduce

SoMo Simulation Framework - In-Hand Manipulation Matches Hardware (Soft Fingers)

SoMo Simulation Framework - In-Hand Manipulation Matches Hardware (Soft Fingers)

SoMo (Soft Motion) enables physically accurate

SoftManiSim: A Fast Simulation Framework for Multi-Segment Continuum Manipulators.

SoftManiSim: A Fast Simulation Framework for Multi-Segment Continuum Manipulators.

In this video, we introduce

Collision-Aware Fast Simulation for Soft Robots by Optimization-Based Geometric Computing

Collision-Aware Fast Simulation for Soft Robots by Optimization-Based Geometric Computing

The video performs the collision-aware

Multigait soft robot real-time simulation

Multigait soft robot real-time simulation

Real-time

SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation

SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation

Project website: softmimicgen.github.io/ Large-scale robot datasets have facilitated the learning of a wide range of robot ...

Efficient FEM-Based Simulation of Soft Robots Modeled As Kinematic Chains

Efficient FEM-Based Simulation of Soft Robots Modeled As Kinematic Chains

ICRA 2018 Spotlight Video Interactive Session Wed PM Pod D.8 Authors: Pozzi, Maria; Miguel, Eder; Deimel, Raphael; Malvezzi, ...

A Simulation Framework for Magnetic Continuum Robots

A Simulation Framework for Magnetic Continuum Robots

Remote magnetic navigation is a technology used to robotically steer magnetic medical instruments, such as magnetic catheters ...

Training a Neural Network for Soft-Robots control using the SOFA simulator

Training a Neural Network for Soft-Robots control using the SOFA simulator

A

Deterministic Simulation Testing, Dominik Tornow | FOSSASIA Summit 2025

Deterministic Simulation Testing, Dominik Tornow | FOSSASIA Summit 2025

Modern, distributed systems are complex and present numerous challenges: concurrency, process crashes, message loss, ...

Robots learn faster when simulation behaves like the real world.

Robots learn faster when simulation behaves like the real world.

MATRiX combines MuJoCo physics, Unreal Engine 5 rendering, and Real2Sim2Real pipelines to bridge

Multifidelity simulation-based inference for computationally expensive simulators

Multifidelity simulation-based inference for computationally expensive simulators

Paper (published at ICLR): https://openreview.net/pdf?id=bj0dcKp9t6 Github: https://github.com/goncalab/multifidelity-NPE Across ...