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20182026
most citedHANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands

28 citations · 75 across the 35 of their papers we have counts for

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46 papers · 1 filter

cs.RO2026

Accelerating Mixed Discrete-Continuous Motion Planning via Neural Graphs of Convex Sets

Ananya Trivedi, Sarvesh Prajapati, Mohamed Khalid M Jaffar +3

Motion planning problems such as collision-free navigation and contact-rich manipulation can be naturally formulated as optimization problems that couple discrete decisions with co…

cs.RO2026

Layered Risk Mapping for Autonomous Patient Transport in Expeditionary Medical Facilities

Lorena Maria Genua, Sarvesh Prajapati, Damla Leblebicioglu +1

In expeditionary medical facilities, routine patient transport imposes a compounding burden of personal protective equipment consumption, staff diversion, and elevated infection ri…

cs.RO2026

Socially-Aware Autonomous Doorway Traversal and Payload Delivery for Emergency Assistance

Andrew Snowdy, Ananya Trivedi, Sarvesh Prajapati +2

In this work, we focus on the scenario of a robot-assisted emergency evacuation. We consider two capabilities relevant to such a setting. The first is opening doors ahead of the pe…

cs.RO2026

TACTFUL: Tactile-Driven Exploration For Object Localization and Identification in Confined Environments

Shivani Kamtikar, Chung Hee Kim, Camilla Tabasso +3

Humans effortlessly locate and identify objects by touch alone, even without vision. In contrast, robotic systems rely heavily on vision and struggle with autonomous tactile explor…

cs.RO2026

JOIN: Anchor-Grasp-Conditioned Joining via Opposition, Inference, and Navigation for Bimanual Assistive Manipulation

Drake Moore, Matt Cheng, Xiang Zhi Tan +1

Assistive mobility and manipulation platforms have received increasing attention as a means of restoring independence to individuals with disabilities. While effective for many bas…

cs.RO2026

Grasp, Slide, Roll: Comparative Analysis of Contact Modes for Tactile-Based Shape Reconstruction

Chung Hee Kim, Shivani Kamtikar, Tye Brady +2

Tactile sensing allows robots to gather detailed geometric information about objects through physical interaction, complementing vision-based approaches. However, efficiently acqui…