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Haotian Guo

7 accepted papers

2026

SACodec: Asymmetric Quantization with Semantic Anchoring for Low-Bitrate High-Fidelity Neural Speech Codecs

AAAI 2026technical

Neural Speech Codecs face a fundamental trade-off at low bitrates: preserving acoustic fidelity often compromises semantic richness. To address this, we introduce SACodec, a novel codec built upon an asymmetric dual-quantizer that employs our proposed Semantic Anchoring mechanism. This design strate

Cited by 0SourcePDFScholar
2025

AffPose: An Integrated RGB-Based Framework for Simultaneous Pose Estimation and Affordance Detection in Robotic Tool Manipulation

RA-L 2025

Enabling robots to perform tool manipulation like humans remains a great challenge. A semantic understanding of tool affordances and precise spatial localization is essential for this task. Conventional methods relying on RGB-D cameras for affordance detection and tool manipulation have been proven

Cited by 2SourceScholar
2025

Construction of Bin-Picking System for Logistic Application: A Hybrid Robotic Gripper and Vision-Based Grasp Planning

RA-L 2025

An autonomous bin-picking system for grasping various cluttered packages can significantly benefit logistics by reducing manual labor and streamlining processing. The system's key challenges involve the gripper for confined spaces and grasp planning for unseen objects with varying materials, shapes,

Cited by 5SourceScholar
2025

MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer

ICLR 2025poster

The recent large-scale text-to-speech (TTS) systems are usually grouped as autoregressive and non-autoregressive systems. The autoregressive systems implicitly model duration but exhibit certain deficiencies in robustness and lack of duration controllability. Non-autoregressive systems require expli…

2024

Theoretical Modeling and Bio-inspired Trajectory Optimization of A Multiple-locomotion Origami Robot

IROS 2024poster

Recent research on mobile robots has focused on increasing their adaptability to unpredictable and unstructured environments using soft materials and structures. However, the determination of key design parameters and control over these compliant robots are predominantly iterated through experiments…

Cited by 1SourceScholar
2024

Under-actuated Robotic Gripper with Multiple Grasping Modes Inspired by Human Finger

IROS 2024poster

Under-actuated robot grippers, as a pervasive tool of robots, have become a considerable research focus. Despite their simplicity of mechanical design and control strategy, they suffer from poor versatility and weak adaptability, making widespread applications limited. To better address relevant res…

Cited by 2SourceScholar
2022

GTac-Gripper: A Reconfigurable Under-Actuated Four-Fingered Robotic Gripper With Tactile Sensing

RA-L 2022

Humans can use different grasping poses and forces for everyday objects of different shapes and sizes. Grasping and manipulating everyday objects have been longstanding challenges in robotics. Performing multiple grasping configurations is difficult for robotic end-effectors with limited degrees of

Cited by 24SourceScholar