7 citations · 14 across the 12 of their papers we have counts for
14 papers
Polarized neutron diffraction with ex-situ He neutron spin filter and two-dimensional detector for noncollinear incommensurate magnetic order
Shingo Takahashi, Yuta Osawa, Ryuju Kobayashi +11
Polarized neutron scattering has been widely used for studying magnetic orders in condensed matter. A typical setup for this technique is a triple-axis spectrometer with a ferromag…
Catch Me If You Can: Real-Time Feedback Denoising for Responsive VLAs
Yiheng Ji, Xingru Zhou, Luis Sentis +1
Vision-Language-Action (VLA) models have shown strong generalization in robotic manipulation by combining semantic knowledge from pretrained vision-language models with expressive…
Beyond Episodic Evaluation: Memory Architectural Bottlenecks in Sequential Embodied Question Answering
Zikui Cai, Kaushal Janga, Tan Dat Dao +15
Embodied question answering (EQA) is traditionally evaluated under an episodic formulation, where agents solve each task independently and reset internal state between episodes. Ho…
ARISTO Hand: Sensing-Driven Distal Hyperextension for Fine-Grained Manipulation
Aaron Kim, Dong Ho Kang, Mark Helwig +4
Manipulating thin objects requires precise contact geometry and reliable force perception, yet many anthropomorphic robotic hands lack the mechanical and sensing capabilities neede…
PLATO Hand: Shaping Contact Behavior with Fingernails for Precise Manipulation
Dong Ho Kang, Aaron Kim, Mingyo Seo +3
We present the PLATO Hand, a dexterous robotic hand with a hybrid fingertip that combines a rigid fingernail, embedded distal phalanx, and compliant pulp to shape contact behavior…
MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos
Rutav Shah, Shuijing Liu, Qi Wang +5
We aim to enable humanoid robots to efficiently solve new manipulation tasks from a few video examples. In-context learning (ICL) is a promising framework for achieving this goal d…
Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Huihan Liu, Rutav Shah, Shuijing Liu +6
Assistive teleoperation, where control is shared between a human and a robot, enables efficient and intuitive human-robot collaboration in diverse and unstructured environments. A…
FORTE: Tactile Force and Slip Sensing on Compliant Fingers for Delicate Manipulation
Siqi Shang, Mingyo Seo, Yuke Zhu +1
Handling fragile objects remains a major challenge for robotic manipulation. Tactile sensing and soft robotics can improve delicate object handling, but typically involve high inte…
LEGATO: Cross-Embodiment Imitation Using a Grasping Tool
Mingyo Seo, H. Andy Park, Shenli Yuan +2
Cross-embodiment imitation learning enables policies trained on specific embodiments to transfer across different robots, unlocking the potential for large-scale imitation learning…
OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation
Jinhan Li, Yifeng Zhu, Yuqi Xie +4
We study the problem of teaching humanoid robots manipulation skills by imitating from single video demonstrations. We introduce OKAMI, a method that generates a manipulation plan…
PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation
Mingyo Seo, Yoonyoung Cho, Yoonchang Sung +3
We introduce a learning-guided motion planning framework that generates seed trajectories using a diffusion model for trajectory optimization. Given a workspace, our method approxi…
Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation
Mingyo Seo, Steve Han, Kyutae Sim +4
We tackle the problem of developing humanoid loco-manipulation skills with deep imitation learning. The difficulty of collecting task demonstrations and training policies for human…
Real-Time Model Predictive Control for Industrial Manipulators with Singularity-Tolerant Hierarchical Task Control
Jaemin Lee, Mingyo Seo, Andrew Bylard +2
This paper proposes a real-time model predictive control (MPC) scheme to execute multiple tasks using robots over a finite-time horizon. In industrial robotic applications, we must…
Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
Mingyo Seo, Ryan Gupta, Yifeng Zhu +3
We tackle the problem of perceptive locomotion in dynamic environments. In this problem, a quadrupedal robot must exhibit robust and agile walking behaviors in response to environm…