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20222026
most citedWorkspace Optimization Techniques to Improve Prediction of Human Motion During Human-Robot Collaboration

10 citations · 12 across the 26 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.RO2025

ShelfAware: Real-Time Semantic Localization in Quasi-Static Environments with Low-Cost Sensors

Shivendra Agrawal, Jake Brawer, Ashutosh Naik +2

Many indoor workspaces are quasi-static: their global geometric layout is stable, but local semantics change continually, producing repetitive geometry, dynamic clutter, and percep…

cs.RO2025

BBoE: Leveraging Bundle of Edges for Kinodynamic Bidirectional Motion Planning

Srikrishna Bangalore Raghu, Alessandro Roncone

In this work, we introduce BBoE, a bidirectional, kinodynamic, sampling-based motion planner that consistently and quickly finds low-cost solutions in environments with varying obs…

cs.RO2025

Dynamics-Compliant Trajectory Diffusion for Super-Nominal Payload Manipulation

Anuj Pasricha, Joewie Koh, Jay Vakil +1

Nominal payload ratings for articulated robots are typically derived from worst-case configurations, resulting in uniform payload constraints across the entire workspace. This cons…

cs.RO2025

MorphIt: Flexible Spherical Approximation of Robot Morphology for Representation-driven Adaptation

Nataliya Nechyporenko, Yutong Zhang, Sean Campbell +1

What if a robot could rethink its own morphological representation to better meet the demands of diverse tasks? Most robotic systems today treat their physical form as a fixed cons…

cs.RO2025

Counterfactual Reasoning and Environment Design for Active Preference Learning

Yi-Shiuan Tung, Bradley Hayes, Alessandro Roncone

For effective real-world deployment, robots should adapt to human preferences, such as balancing distance, time, and safety in delivery routing. Active preference learning (APL) le…

cs.RO2025

Employing Laban Shape for Generating Emotionally and Functionally Expressive Trajectories in Robotic Manipulators

Srikrishna Bangalore Raghu, Clare Lohrmann, Akshay Bakshi +4

Successful human-robot collaboration depends on cohesive communication and a precise understanding of the robot's abilities, goals, and constraints. While robotic manipulators offe…