2 papers
cs.RO2026
PACE: Adaptive Budget Allocation for Time-Efficient Embodied Planning
Yuchen Huang, Xijiang Ying, Zhenhua Ma +14
Reasoning-enhanced large language models have achieved remarkable improvements in planning tasks, yet their deployment in embodied systems remains impractical due to prohibitive in…
cs.RO2026
Seed2Scale: A Self-Evolving Data Engine with Parallel Worlds Expansion for Scalable Robot Learning
Cong Tai, Zhaoyu Zheng, Haixu Long +14
Existing data generation methods for robot learning suffer from limited exploration, embodiment gaps, low signal-to-noise ratios, and domain shifts, leading to performance degradat…