5-10

SSTC_AI Robotics Systems and Multimodal Perception Integration Intern (A000)

2/4/2026

The intern will develop intelligent robotic control systems and integrate multi-modal perception systems to enhance environmental awareness. They will also lead AI-driven robotic automation implementation and deploy AI models onto Edge AI devices for real-time applications.

Working Hours

40 hours/week

Company Size

5,001-10,000 employees

Language

English

Visa Sponsorship

About The Company

Industrial Technology Research Institute (ITRI)(工業技術研究院, 工研院) Industrial Technology Research Institute (ITRI) is one of the world's leading technology R&D institutions aiming to innovate a better future for society. Founded in 1973, ITRI has played a vital role in transforming Taiwan's industries from labor-intensive into technology-oriented. Over the years, ITRI has incubated over 240 innovative companies, including well-known names such as UMC and TSMC, and cultivated more than 140 CEOs. Based on its long-term partnership with various industry sectors, ITRI offers a wide range of services, from technical to business consultation, to the international community– such as contract research, product and process development, and pilot runs for technological upgrades; IP strategy and licensing, industrial analysis, and talent training for hi-tech business; and the open lab and incubation for new ventures and emerging industries. ITRI focuses on the fields of Information and Communications; Electronics and Optoelectronics; Material Chemical and Nanotechnology; Medical Device and Biomedical; Mechanical and Systems; and Green Energy and Environment. In addition to its headquarters in Taiwan, ITRI has branch offices in Silicon Valley, Tokyo, Berlin and Eindhoven in an effort to extend its R&D scope and promote opportunities for international cooperation around the world.

About the Role

This internship is in ITRI's Service Systems Technology Center(SSTC).

Intern will work on the following topics / tasks:

Develop intelligent robotic control systems, including designing AI-based control algorithms, implementing middleware, and building robotic control modules using ROS for autonomous robotic platforms.
Build and integrate multi‑modal perception systems, including models for object recognition, scene understanding, event detection, and human–robot interaction to enhance environmental awareness.
Design, develop, and deploy advanced AI models, applying LLMs, VLMs, LBMs, and related large models to robotic vision, tactile sensing, speech recognition, behavior learning, and prediction. Deploy AI models onto Edge AI devices for real-time robotic applications.
Lead AI‑driven robotic automation implementation, including application workflow design, parameter tuning, behavior policy optimization, and integration with industrial automation systems to accomplish end‑to‑end technology deployment.

Qualifications:

Computer Science, Electrical Engineering, Control Engineering, Artificial Intelligence, Robotics, Mechanical Engineering, or related fields.
More than 3 years of hands‑on experience in developing or deploying autonomous mobile robots, collaborative robots, automation systems for logistics/manufacturing environments, or Edge AI solutions.
Practical experience in multimodal perception AI technologies, such as object recognition, tracking, multi‑view integration, spatial understanding, and speech/vision fusion.
Familiarity with industrial communication protocols (e.g., Modbus, CAN, OPC UA), multimodal localization technologies (Visual‑Inertial SLAM, LiDAR SLAM), middleware‑based control, and the ability to integrate AI modules.
Strong motivation to learn, with the ability to write technical documentation and collaborate effectively within a team.

Key Skills

RoboticsAIControl SystemsMiddlewareROSObject RecognitionScene UnderstandingEvent DetectionHuman-Robot InteractionAI ModelsEdge AIAutomationIndustrial Communication ProtocolsMultimodal PerceptionSLAMTechnical Documentation