activity
20102023
most citedModel Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges

386 citations · 1.5k across the 80 of their papers we have counts for

collaborators

87 papers

cs.RO2023★ 6 cited

A Modular Bio-inspired Robotic Hand with High Sensitivity

Chao Liu, Andrea Moncada, Hanna Matusik +2

While parallel grippers and multi-fingered robotic hands are well developed and commonly used in structured settings, it remains a challenge in robotics to design a highly articula…

cs.RO2023★ 30 cited

Efficient automatic design of robots

David Matthews, Andrew Spielberg, Daniela Rus +2

Robots are notoriously difficult to design because of complex interdependencies between their physical structure, sensory and motor layouts, and behavior. Despite this, almost ever…

cs.RO2023

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving

Xiao Li, Igor Gilitschenski, Guy Rosman +2

As learning-based methods make their way from perception systems to planning/control stacks, robot control systems have started to enjoy the benefits that data-driven methods provi…

cs.CL2023

Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow

Noam Buckman, Sertac Karaman, Daniela Rus

Semi-cooperative behaviors are intrinsic properties of human drivers and should be considered for autonomous driving. In addition, new autonomous planners can consider the social v…

cs.RO2023★ 4 cited

SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments

Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg +5

While significant research progress has been made in robot learning for control, unique challenges arise when simultaneously co-optimizing morphology. Existing work has typically b…

cs.RO2023

Learned Risk Metric Maps for Kinodynamic Systems

Ross Allen, Wei Xiao, Daniela Rus

We present Learned Risk Metric Maps (LRMM) for real-time estimation of coherent risk metrics of high dimensional dynamical systems operating in unstructured, partially observed env…