What problem does it solve? Turning a broad robotics direction into a concrete, publishable research idea is hard: generic idea generators ignore embodiment, benchmarks, sim2real constraints, and evaluation quality. This Skill runs a structured pipeline that grounds every idea in a specific robot, benchmark, and sim-first pilot plan. ## Core Features & Use Cases - Robotics-Aware Literature Survey: Groups prior work by embodiment, task family, benchmark, action interface, and sim2real setup, targeting CoRL, RSS, ICRA, IROS, and RA-L venues. - Filtered Idea Generation: Produces candidate ideas with target benchmark, bottleneck, minimum sim-first pilot, mandatory metrics, and expected failure modes, while downranking demo-driven or hardware-dependent ideas. - Novelty Verification and External Review: Runs per-idea novelty checks and a simulated CoRL/RSS/ICRA reviewer pass, then writes a structured IDEA_REPORT.md with an evidence package. - Use Case: A researcher exploring bimanual manipulation runs the pipeline and receives three ranked, benchmark-grounded ideas with sim pilot plans, baselines, failure metrics, and reviewer feedback—without touching real hardware. ## Quick Start Ask the assistant to run robotics idea discovery for a direction such as "drone navigation" or "bimanual manipulation", optionally adding constraints like sim-only pilots or a target venue.
