The Helping Hands Lab

The Helping Hands Lab

@Northeastern University

The Helping Hands Lab develops perception, planning, and control algorithms for robot manipulation in unstructured environments. We are particularly interested in robots that work with humans in built-for-human environments.

Publications

(2022). The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. In Priprint.

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The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
(2022). On-Robot Learning With Equivariant Models. In CoRL 2022.

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On-Robot Learning With Equivariant Models
(2022). Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. In PMLR.

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Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images
(2022). Grasp Learning: Models, Methods, and Performance. In Annual Review of Control, Robotics, and Autonomous Systems, Vol 6.

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Grasp Learning: Models, Methods, and Performance
(2022). BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework. ISRR 2022.

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BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework