activity
20222026
most citedTeaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection

3 citations · 5 across the 18 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.RO2026

Embodied Agents Take Control: Minimal-Interface Zero-Shot Agents Rival Industrial-Scale Policies in Vision-and-Language Navigation

Jian Zhou, Xunyi Zhao, Gengze Zhou +4

Autonomous embodied agents must sustain a long decision-making loop of perceiving, acting, verifying, and self-correcting. In trained end-to-end policies and hand-designed workflow…

cs.RO2026

Automating the Design of Embodied Agent Architectures

Jian Zhou, Sihao Lin, Jin Li +3

Embodied agents are typically built as hand-designed compositions of perception, memory, planning, and action modules. This modularity exposes a large architectural design space, b…

cs.CV2026

Ask When It Pays: Cost-Aware Open-Ended Interaction for Instance Goal Navigation

Xunyi Zhao, Sihao Lin, Gengze Zhou +5

Instance Goal Navigation (IGN) requires an embodied agent to find a specific object instance among distractors from an under-specified natural-language description. Such ambiguity…

cs.CV2026

IntentionNav: A Benchmark for Intent-Driven Object Navigation from Implicit Human Instruction

Lin Qian, Shijie Li, Sihao Lin +4

Existing object navigation benchmarks usually tell an embodied agent which object category to find, such as microwave or chair. Human-facing embodied AI is often asked something le…

cs.RO2026

One Agent to Guide Them All: Empowering MLLMs for Vision-and-Language Navigation via Explicit World Representation

Zerui Li, Hongpei Zheng, Fangguo Zhao +5

A navigable agent needs to understand both high-level semantic instructions and precise spatial perceptions. Building navigation agents centered on Multimodal Large Language Models…