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20242026
most citedFrom Blurry to Brilliant Detection: YOLO-Based Aerial Object Detection with Super Resolution

6 citations · 8 across the 16 of their papers we have counts for

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10 papers · 1 filter

cs.RO2026

Paraphrase Consensus Is Not Self-Consistency: Instruction Reliance and Robustness in VLA Policies

Hanlong Li, Sihan Tan, Takeshi Ashizawa +2

Vision-language-action (VLA) policies fine-tuned on LIBERO are trained and evaluated on the same ten instruction strings, and rewording the instruction changes base OpenVLA's succe…

cs.RO2026

BCNav: Bearing-Conditioned Depth Policies for Sound Source Navigation

Yaozhong Kang, Jiang Wang, Takeshi Ashizawa +2

The ability to navigate toward sound sources extends a robot's reach beyond its visual field, enabling response to auditory events in unknown environments. To equip robots with thi…

cs.RO2026

AMBIT: Anticipatory Multimodal Body Recruitment for Bimanual Tracking on a Humanoid

Hanlong Li, Sihan Tan, Takeshi Ashizawa +2

A humanoid with 5-DoF arms cannot track generic bimanual end-effector trajectories with its arms alone; pelvis and waist motion must be recruited, but which motion, and when, is no…

eess.AS2026

UNITE-AUDIO: Joint Learning of Continuous Tokenization and Latent Flow Matching for Text-to-Audio Generation

Runwu Shi, Kai Li, Yujin Wang +8

Text-to-audio (TTA) generation aims to synthesize realistic audio that faithfully reflects natural-language descriptions. Most TTA systems adopt a two-stage latent paradigm: an aud…

eess.AS2026

Exploring Efficient Waveform Diffusion Models for Foley Sound Generation

Runwu Shi, Chang Li, Jiahui Li +7

Recent advances in diffusion models have enabled high-fidelity Foley sound generation directly in the waveform space. Existing waveform diffusion models primarily rely on time-doma…

cs.RO2026

S2A2: Audio-Visual Imitation Learning for Manipulation Tasks Using Acoustic Spatial Information

Kaneyoshi Hiratsuka, Benjamin Yen, Ryosuke Kojima

Acoustic information provides rich cues about object location, material properties, and changes caused by contact or motion. This paper introduces a new set of acoustic-aware manip…

cs.RO2026

From Sign Language Generation to Humanoid Execution: Vision-Language Guided Retargeting with Collision Mitigation

Nabeela Khan, Bowen Wu, Runwu Shi +5

Recent sign language generation (SLG) systems increasingly output dense 3D body representations, which better preserve full-body kinematics and geometry for downstream embodiment o…

cs.SD2026

What Do Neural Networks Learn for TDOA Estimation? A Cross-Architecture Probing Study

Yaozhong Kang, Jiang Wang, Runwu Shi +3

Neural networks outperform classical GCC-PHAT for Time-Difference-of-Arrival (TDOA) estimation in noise and reverberation, yet their internal strategy remains unexplored. To uncove…

cs.SD2026

Fast-SDE: Efficient Single-Microphone Sound Source Distance Estimation in Reverberant Environments

Jiang Wang, Runwu Shi, Yaozhong Kang +3

Sound source distance estimation (SDE) is a critical capability in human-robot interaction. An inappropriate interaction distance not only reduces the reliability of speech acquisi…

cs.SD2026

Ecologically-Constrained Task Arithmetic for Multi-Taxa Bioacoustic Classifiers Without Shared Data

Ragib Amin Nihal, Benjamin Yen, Runwu Shi +2

Training data for bioacoustics is scattered across taxa, regions, and institutions. Centralizing it all is often infeasible. We show that independently fine-tuned BEATs encoders ca…