15 citations · 25 across the 7 of their papers we have counts for
7 papers · 1 filter
Mixed Reality Outperforms Virtual Reality for Remote Error Resolution in Pick-and-Place Tasks
Advay Kumar, Stephanie Simangunsong, Pamela Carreno-Medrano +1
This study evaluates the performance and usability of Mixed Reality (MR), Virtual Reality (VR), and camera stream interfaces for remote error resolution tasks, such as correcting w…
Contextual Affordances for Safe Exploration in Robotic Scenarios
William Z. Ye, Eduardo B. Sandoval, Pamela Carreno-Medrano +1
Robotics has been a popular field of research in the past few decades, with much success in industrial applications such as manufacturing and logistics. This success is led by clea…
Adapting Neural Models with Sequential Monte Carlo Dropout
Pamela Carreno-Medrano, Dana Kulić, Michael Burke
The ability to adapt to changing environments and settings is essential for robots acting in dynamic and unstructured environments or working alongside humans with varied abilities…
Autonomous social robot navigation in unknown urban environments using semantic segmentation
Sophie Buckeridge, Pamela Carreno-Medrano, Akansel Cosgun +2
For autonomous robots navigating in urban environments, it is important for the robot to stay on the designated path of travel (i.e., the footpath), and avoid areas such as grass a…
Metrics for Evaluating Social Conformity of Crowd Navigation Algorithms
Junxian Wang, Wesley P. Chan, Pamela Carreno-Medrano +2
Recent protocols and metrics for training and evaluating autonomous robot navigation through crowds are inconsistent due to diversified definitions of "social behavior". This makes…
Aligning Robot's Behaviours and Users' Perceptions Through Participatory Prototyping
Pamela Carreno-Medrano, Leimin Tian, Aimee Allen +6
Robots are increasingly being deployed in public spaces. However, the general population rarely has the opportunity to nominate what they would prefer or expect a robot to do in th…
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations
Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic
When a robot learns from human examples, most approaches assume that the human partner provides examples of optimal behavior. However, there are applications in which the robot lea…