27 citations · 213 across the 109 of their papers we have counts for
126 papers
Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance
Zhefei Gong, Hefeifei Jiang, Zehao Wang +1
Mobile Manipulation (MoMa) is a cornerstone of autonomous robotic systems, yet real-world fine-tuning remains a formidable challenge because of high-dimensional action spaces and i…
HRTF Upsampling and Personalization via Neural Operators
Meenakshi Krishnan, You Zhang, Ramani Duraiswami +1
Head-related transfer function (HRTF) spatial upsampling from sparse measurements is a fundamental challenge in personalized binaural audio. We formulate HRTF upsampling as an oper…
InstanceBench: Diagnosing Referential Reasoning and Target Identity in Referring Expression Segmentation
Yuchen Li, Shaoyang Zhou, Yiran Wang +5
Referring Expression Segmentation (RES) links natural-language descriptions to pixel-level object masks. Yet standard evaluation provides limited insight into instance-level refere…
Workhorse: Learning Robust Whole-Body Humanoid Loco-Manipulation from Human Data
Songbo Hu, Qiayuan Liao, Yufeng Chi +4
Humanoid robots still struggle to plan contact-rich whole-body manipulation from egocentric RGB and proprioception. Workhorse learns such manipulation from robot-free human demonst…
ChronoGraph: Functional 4D Scene Graphs with Vision-Language Models for Interaction Understanding and Grounded Planning
Chenyangguang Zhang, Malgorzata Gwiazda, Guanlong Jiao +5
Embodied agents must determine where to act, anticipate the resulting scene changes, and interpret observed outcomes to guide subsequent actions. This requires connecting 4D intera…
Learning Continuous Neural Representation of Stochastic Hybrid Systems
Sangli Teng, Hang Liu, Koushil Sreenath
A stochastic hybrid system (SHS) is governed by a stochastic differential equation (SDE) describing the continuous dynamics and a Markov reset kernel triggered on the guard surface…