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Alex Alspach

5 accepted papers

2026

PAPRLE (Plug-And-Play Robotic Limb Environment): A Modular Ecosystem for Robotic Limbs

ICRA 2026poster

We introduce PAPRLE (Plug-And-Play Robotic Limb Environment), a modular ecosystem that enables flexible placement and control of robotic limbs. With PAPRLE, a user can re-configure the arrangement of the robotic limbs, and control them with various kinds of devices, including puppeteers, handheld co…

2022

SEED: Series Elastic End Effectors in 6D for Visuotactile Tool Use

IROS 2022poster

We propose the framework of Series Elastic End Effectors in 6D (SEED), which combines a spatially compliant element with visuotactile sensing to grasp and manipulate tools in the wild. Our framework generalizes the benefits of series elasticity to 6-dof, while providing an abstraction of control usi…

Cited by 17SourceScholar
2020

A Transition-Aware Method for the Simulation of Compliant Contact With Regularized Friction

RA-L 2020

Multibody simulation with frictional contact has been a challenging subject of research for the past thirty years. Rigidbody assumptions are commonly used to approximate the physics of contact, and together with Coulomb friction, lead to challengingto-solve nonlinear complementarity problems (NCP).

Cited by 21SourceScholar
2020

Fast Model-Based Contact Patch and Pose Estimation for Highly Deformable Dense-Geometry Tactile Sensors

RA-L 2020

Modeling deformable contact is a well-known problem in soft robotics and is particularly challenging for compliant interfaces that permit large deformations. We present a model for the behavior of a highly deformable dense geometry sensor in its interaction with objects; the forward model predicts t

Cited by 42SourceScholar
2020

Soft-bubble grippers for robust and perceptive manipulation

IROS 2020poster

Manipulation in cluttered environments like homes requires stable grasps, precise placement and robustness against external contact. Towards addressing these challenges, we present the Soft-bubble gripper system that combines highly compliant gripping surfaces with dense-geometry visuotactile sensin…

Cited by 112SourceScholar