Benchmarking and Enhancing Skill-Level Memory for Partially Observable Robotic Manipulation
- 类型：arxiv
- 标识：2609.38886
- 链接：https://arxiv.org/abs/2609.38886
- 主分类：evaluation
- 形态：benchmark
- TLDR：Recent advances in robot learning have enabled manipulation policies to perform increasingly diverse tasks and generalize across environments. However, reliable execution often depends on hidden task states that cannot be determined from current observations alone, making interaction history essential. We introduce HIDE, a benchmark for evaluating manipulation memory under partial observability. HIDE comprises 15 tasks covering repetition counting, historical-state recall, and execution-progress tracking, with randomized initial configurations and decision points where similar observations req
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-10-02-agent-rag-longcontext-candidates.json