activity
20242026
most citedVIEW: Visual Imitation Learning with Waypoints

2 citations · 6 across the 27 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.RO2024

RECON: Reducing Causal Confusion with Human-Placed Markers

Robert Ramirez Sanchez, Heramb Nemlekar, Shahabedin Sagheb +2

Imitation learning enables robots to learn new tasks from human examples. One fundamental limitation while learning from humans is causal confusion. Causal confusion occurs when th…

cs.RO2024

Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave

Sagar Parekh, Lauren Bramblett, Nicola Bezzo +1

Humans interacting with robots often form predictions of what the robot will do next. For instance, based on the recent behavior of an autonomous car, a nearby human driver might p…

cs.RO2024

PECAN: Personalizing Robot Behaviors through a Learned Canonical Space

Heramb Nemlekar, Robert Ramirez Sanchez, Dylan P. Losey

Robots should personalize how they perform tasks to match the needs of individual human users. Today's robot achieve this personalization by asking for the human's feedback in the…

cs.RO2024★ 1 cited

Combining and Decoupling Rigid and Soft Grippers to Enhance Robotic Manipulation

Maya Keely, Yeunhee Kim, Shaunak A. Mehta +6

For robot arms to perform everyday tasks in unstructured environments, these robots must be able to manipulate a diverse range of objects. Today's robots often grasp objects with e…

cs.RO2024★ 2 cited

VIEW: Visual Imitation Learning with Waypoints

Ananth Jonnavittula, Sagar Parekh, Dylan P. Losey

Robots can use Visual Imitation Learning (VIL) to learn manipulation tasks from video demonstrations. However, translating visual observations into actionable robot policies is cha…

cs.RO2024★ 1 cited

Aligning Learning with Communication in Shared Autonomy

Joshua Hoegerman, Shahabedin Sagheb, Benjamin A. Christie +1

Assistive robot arms can help humans by partially automating their desired tasks. Consider an adult with motor impairments controlling an assistive robot arm to eat dinner. The rob…

cs.RO2024★ 1 cited

Kiri-Spoon: A Soft Shape-Changing Utensil for Robot-Assisted Feeding

Maya N. Keely, Heramb Nemlekar, Dylan P. Losey

Assistive robot arms have the potential to help disabled or elderly adults eat everyday meals without relying on a caregiver. To provide meaningful assistance, these robots must re…

cs.RO2024

Personalizing Interfaces to Humans with User-Friendly Priors

Benjamin A. Christie, Heramb Nemlekar, Dylan P. Losey

Robots often need to convey information to human users. For example, robots can leverage visual, auditory, and haptic interfaces to display their intent or express their internal s…

cs.RO2024

Safely and Autonomously Cutting Meat with a Collaborative Robot Arm

Ryan Wright, Sagar Parekh, Robin White +1

Labor shortages in the United States are impacting a number of industries including the meat processing sector. Collaborative technologies that work alongside humans while increasi…