ResearStudio: A Human-Intervenable Framework for Building Controllable Deep-Research Agents

arXiv:2510.12194v2 Announce Type: replace Abstract: Current deep-research agents run in a ”fire-and-forget” mode: once started, they give users no way to fix errors or add expert knowledge during execution. We present ResearStudio, the first open-source framework that places real-time human control at its core. The system follows a Collaborative Workshop design. A hierarchical Planner-Executor writes […]

SRA-CP: Spontaneous Risk-Aware Selective Cooperative Perception

arXiv:2511.17461v1 Announce Type: new Abstract: Cooperative perception (CP) offers significant potential to overcome the limitations of single-vehicle sensing by enabling information sharing among connected vehicles (CVs). However, existing generic CP approaches need to transmit large volumes of perception data that are irrelevant to the driving safety, exceeding available communication bandwidth. Moreover, most CP frameworks rely […]

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