Tacchi 2.0: A Low Computational Cost Dynamic Contact Simulator for Vision-Based Tactile Sensors
- Published
- Source
- leaderobot.com
A groundbreaking advancement in robotics has emerged with the introduction of Tacchi 2.0, a dynamic contact simulator designed to significantly improve the generation of high-quality tactile data. This innovative tool utilizes a combination of the Material Point Method and pinhole camera models to create highly realistic simulations of object interactions. The result is a remarkable level of accuracy that benefits both simulated environments and real-world applications. Tacchi 2.0 is poised to enhance the capabilities of robots, enabling them to better understand and interact with their surroundings. This development marks a significant step forward in the field of robotics, promising to improve the efficiency and effectiveness of robotic systems in various industries.
Original report
Tacchi 2.0: A Low Computational Cost Dynamic Contact Simulator for Vision-Based Tactile Sensors
leaderobot.com · LeaderobotThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
BioRobotics Laboratory, Korea University of Technology and Education
Korea, Republic of (South)
South Korean university research laboratory focusing on haptics, exoskeletons, rehabilitation robotics, and autonomous ground vehicles.
McMaster Manufacturing Research Institute
Canada
Hamilton, Ontario applied manufacturing research center at McMaster University; runs a 21,000 sq ft facility with seven research labs.
Robotics Education & Competition Foundation
United States
The REC Foundation is a US nonprofit that runs VEX-based robotics and drone competitions reaching 1.1 million students across 70 countries.
Ortelio Ltd
United Kingdom
Ortelio Ltd is a UK cloud robotics research company founded in 2011 that develops AI platforms giving robots intelligence for service and healthcare tasks.
Parata Systems
United States
Durham, North Carolina pharmacy automation maker acquired by BD in 2022; builds robotic vial-filling and packaging systems.
Pensa Systems
United States
Austin-based AI retail shelf platform using autonomous drones and CV to detect stockouts; customers include J&J, AB InBev, and Circle K.
Machine Vision Lighting Inc.
Japan
Tokyo firm whose patented VISA-Method lighting delivers uniform illumination and one-step 3-D imaging for machine-vision inspection.
Tangram Vision
United States
Perception infrastructure software and hardware company enabling reliable sensor calibration and integration for robotics and autonomous systems.
CHINGMU VISION 上海青瞳视觉科技有限公司
China
Shanghai-based developer of optical motion capture systems for robotics, film, biomechanics, and rehabilitation applications.
Human in Motion Robotics
Canada
Vancouver, Canada medical-robotics company founded 2016 builds the XoMotion self-balancing exoskeleton for people with spinal cord injury or stroke.
LG Display
Korea, Republic of (South)
Seoul display maker (KRX:034220, NYSE:LPL), formed 1999, that launched plastic OLED humanoid-robot face panels for industrial settings in 2026.
Roboblock System Co., Ltd.
Korea, Republic of (South)
South Korean robotics distribution and development company founded in 1997; supplies AI robots, drones, humanoid kits, and VR/AR systems internationally.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
