【2027研發替代役暨預聘】Human-Robot Interaction (HRI) Engineer_Delta Robotics Innovation Center (Taipei)
台達電子工業股份有限公司 _DELTA ELECTRONICS INC. 【2027研發替代役暨預聘】Human-Robot Interaction (HRI) Engineer_Delta Robotics Innovation Center (Taipei)
Description
The Delta Robotics Innovation Center (DRIC) is established to support Delta Electronics’ long-term robotics development. Its primary purpose is to build and enhance Delta’s capabilities in robot design, manufacturing, and integration. Rather than focusing on delivering specific products, the center aims to cultivate core competencies that enable Delta groups to efficiently develop and commercialize robotics-based solutions. We are seeking an HRI Engineer to design next-generation human interfaces for dexterous robotic manipulation and architect robust, multimodal interaction data systems. You will develop intuitive teleoperation tools—including VR/XR environments, haptic gloves, and vision-based tracking—to enable humans to seamlessly guide, teach, and collaborate with complex robotic end-effectors.
Responsibilities:
- Develop Multimodal Human Interfaces: Design and deploy real-time teleoperation frameworks, VR/XR environments, and haptic feedback systems (e.g., haptic gloves, wearable tracking) for high-fidelity control of dexterous robotic hands and arms.
- Build Multimodal Data Pipelines: Architect time-synchronized, multi-sensor data collection infrastructure that logs vision, joint states, tactile array feedback, and force/torque signatures during physical interaction.
•Implement Shared Autonomy & Human-in-the-Loop Refinement: Develop shared control algorithms and low-code/intuitive teaching interfaces that allow operators to intervene, correct, or refine robot actions in real time.
•User-Centric Evaluation: Conduct systematic human-in-the-loop user studies to quantify operator cognitive load, ergonomic efficiency, and interface responsiveness.
- Sim-to-Real Hardware Validation: Integrate operator teleoperation interfaces across high-fidelity physics engines (e.g., Isaac Sim, MuJoCo) and physical multi-bimanual testbeds.