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20222026
most citedUNIDEAL: Curriculum Knowledge Distillation Federated Learning

8 citations · 27 across the 24 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

Navi-Agent: Unlocalized Monocular Navigation Agent

Wenyuan Xie, Mengyang Hong, Yongzhong Wang +9

Vision-Language Navigation in Continuous Environments (VLN-CE) requires an embodied agent to execute long-horizon instructions in unknown environments. Existing zero-shot VLN-CE sy…

cs.RO2026

GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture

GigaBrain Team, Angen Ye, Axiang Sun +56

Vision-language-action (VLA) models have become a dominant paradigm for generalist embodied agents, demonstrating strong complex and long-horizon task completion in structured sett…

cs.RO2026

MVP-Nav: Multi-layer Value Map Planner Navigator

Wenyuan Xie, Shaokai Wu, Yijin Zhou +7

Zero-shot Object Goal Navigation (ZSON) with RGB-only perception poses a fundamental challenge for embodied agents, as the absence of explicit depth information introduces severe p…

cs.RO2026

RelAfford6D: Relational 6D Affordance Graphs for Constraint-Driven Robotic Manipulation

Guodong Zhang, Qichen He, Wenyuan Xie +6

Bridging abstract semantics and precise physical control remains a fundamental challenge in open-world robotic manipulation. While recent data-driven policies show promise, their r…

cs.RO2026

Recovering Hidden Reward in Diffusion-Based Policies

Yanbiao Ji, Qiuchang Li, Yuting Hu +7

This paper introduces EnergyFlow, a framework that unifies generative action modeling with inverse reinforcement learning by parameterizing a scalar energy function whose gradient…

cs.RO2025

Dejavu: Towards Experience Feedback Learning for Embodied Intelligence

Shaokai Wu, Yanbiao Ji, Qiuchang Li +7

Embodied agents face a fundamental limitation: once deployed in real-world environments, they cannot easily acquire new knowledge to improve task performance. In this paper, we pro…