activity
20222026
most citedRecognizing Intent in Collaborative Manipulation

3 citations · 9 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026★ 1 cited

Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics

Open-H-Embodiment Consortium, :, Nigel Nelson +213

Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…

cs.RO2025★ 1 cited

Autonomous Dissection in Robotic Cholecystectomy

Ki-Hwan Oh, Leonardo Borgioli, Miloš Žefran +2

Robotic surgery offers enhanced precision and adaptability, paving the way for automation in surgical interventions. Cholecystectomy, the gallbladder removal, is particularly well-…

cs.RO2024

Expanded Comprehensive Robotic Cholecystectomy Dataset (CRCD)

Ki-Hwan Oh, Leonardo Borgioli, Alberto Mangano +9

In recent years, the application of machine learning to minimally invasive surgery (MIS) has attracted considerable interest. Datasets are critical to the use of such techniques. T…

cs.RO2024★ 2 cited

Sensory Glove-Based Surgical Robot User Interface

Leonardo Borgioli, Ki-Hwan Oh, Valentina Valle +9

Robotic surgery has reached a high level of maturity and has become an integral part of standard surgical care. However, existing surgeon consoles are bulky, take up valuable space…

cs.RO2023

Comprehensive Robotic Cholecystectomy Dataset (CRCD): Integrating Kinematics, Pedal Signals, and Endoscopic Videos

Ki-Hwan Oh, Leonardo Borgioli, Alberto Mangano +9

In recent years, the potential applications of machine learning to Minimally Invasive Surgery (MIS) have spurred interest in data sets that can be used to develop data-driven tools…

cs.RO2023

A Framework For Automated Dissection Along Tissue Boundary

Ki-Hwan Oh, Leonardo Borgioli, Miloš Žefran +2

Robotic surgery promises enhanced precision and adaptability over traditional surgical methods. It also offers the possibility of automating surgical interventions, resulting in re…

cs.RO2023★ 3 cited

Recognizing Intent in Collaborative Manipulation

Zhanibek Rysbek, Ki Hwan Oh, Milos Zefran

Collaborative manipulation is inherently multimodal, with haptic communication playing a central role. When performed by humans, it involves back-and-forth force exchanges between…

cs.RO2023★ 1 cited

Robots Taking Initiative in Collaborative Object Manipulation: Lessons from Physical Human-Human Interaction

Zhanibek Rysbek, Ki Hwan Oh, Afagh Mehri Shervedani +3

Physical Human-Human Interaction (pHHI) involves the use of multiple sensory modalities. Studies of communication through spoken utterances and gestures are well established, but c…

cs.RO2022★ 1 cited

Evaluating Multimodal Interaction of Robots Assisting Older Adults

Afagh Mehri Shervedani, Ki-Hwan Oh, Bahareh Abbasi +4

We outline our work on evaluating robots that assist older adults by engaging with them through multiple modalities that include physical interaction. Our thesis is that to increas…