Author

Run-Jia Tan

h-index 7 View on Semantic Scholar

We have 4 of 17 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#human-computer interacti... Preprint Sep 2026

When the Environment Becomes the Interface: Multisensory Environmental Interfaces for Human-AI Interaction in Autonomous Vehicles

Environmental interfaces are introduced: designed environmental conditions that shape human-AI relationships through ambient, holistic, and evaluative pathways rather than explicit functional interaction, pointing to a broader transition from designing interfaces for operating intelligent systems to designing environme...

Ke-Qi Chen, Run-Jia Tan, Xin-Yi Fu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents

RoboFoundry is proposed, the first embodied agentic framework that formulates this process of system-as-policy evolution across foundation models as Self-Evolving System-as-Policy, highlighting its potential for fully autonomous embodied agents.

Jing-Song Liang, Shu-Hao Liao, Shi-Zhe Zhang et al. · 0 citations

#human-computer interacti... Preprint Sep 2026

Beyond Driving: Envisioning Activities in Future Autonomous Vehicles through Experience-Centered Design

This paper introduces experience-centered design (ECD) as an approach to investigate potential NDRAs within FAVs by examining the intricate connections between individuals'daily routines, specific travel contexts, and the activities they might undertake in transit.

Ke-Qi Chen, Xiao Xue, Xin-Yi Liu et al. · 0 citations

Preprint Sep 2026

AnyviewMeter: Adapting Robotic Reward Models with Camera Geometry and Multi-View Attention

Robotic reward models evaluate task execution from visual observations, but their predictions can change with camera viewpoint and occlusion even when the underlying task state is unchanged. Adapting a pretrained reward model to a local task therefore requires accounting for how that task is observed. We introduce Anyv...

Yuang Tu, Run-Jia Tan, Yu-Jie Yan et al. · 0 citations