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Clark B. Teeple

11 accepted papers

2023

Transformable Linkage-Based Gripper for Multi-Mode Grasping and Manipulation

RA-L 2023

Gripper hardware design often involves a trade-off between distinct and sometimes opposing goals (e.g., high grasping force vs. gentleness). To address this trade-off within a single device, we present a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink

Cited by 9SourceScholar
2022

Contact-implicit Trajectory and Grasp Planning for Soft Continuum Manipulators

IROS 2022poster

As robots begin to move from structured industrial environments to the real world, they must be equipped to not only safely interact with the environment, but also reason about how to leverage contact to perform tasks. In this work, we develop a modeling and motion planning framework for continuum r…

Cited by 8SourceScholar
2022

Controlling Palm-Object Interactions Via Friction for Enhanced In-Hand Manipulation

RA-L 2022

In-hand manipulation is necessary, yet challenging for robotic hands as robots begin to interact with real-world objects and environments. The intentional incorporation of an active palm can lead to improved dexterity. In this work, we demonstrate how controlling the palm-object interaction enables

Cited by 17SourceScholar
2022

Controlling Soft Fluidic Actuators Using Soft DEA-Based Valves

RA-L 2022

Fluidic soft actuators have been widely used for applications where compliance is desirable – such as in delicate robotic manipulation. As their operation is based on pressurization, fluidic actuators typically rely on bulky, rigid pumps, valves, and pressure regulators for control. This dependence

Cited by 12SourceScholar
2022

Multi-Dimensional Compliance of Soft Grippers Enables Gentle Interaction with Thin, Flexible Objects

ICRA 2022poster

In this paper, we discuss the role of gripper compliance in successful grasping and manipulation of thin, flexible materials. We show, both conceptually and empirically, that each axis of compliance in a planar gripper provides unique benefits in this domain. Vertical compliance allows robust graspi…

Cited by 14SourceScholar
2022

SoMoGym: A Toolkit for Developing and Evaluating Controllers and Reinforcement Learning Algorithms for Soft Robots

RA-L 2022

Soft robotsoffer a host of benefits over traditional rigid robots, including inherent compliance that lets them passively adapt to variable environments and operate safely around humans and fragile objects. However, that same compliance makes it hard to use model-based methods in planning tasks requ

Cited by 33SourceScholar
2021

An Active Palm Enhances Dexterity of Soft Robotic In-Hand Manipulation

ICRA 2021poster

In-hand manipulation is challenging for soft robotic hands, especially in the real world where robots encounter a variety of object sizes and shapes. As such, the role of the palm is crucial, providing stabilizing contact to objects during grasping and manipulation, and controlling the position of o…

Cited by 12SourceScholar
2021

SoMo: Fast and Accurate Simulations of Continuum Robots in Complex Environments

IROS 2021poster

Engineers and scientists often rely on their intuition and experience when designing soft robotic systems. The development of performant controllers and motion plans for these systems commonly requires time-consuming iterations on hardware. We present the SoMo (Soft Motion) toolkit, a software frame…

Cited by 40SourceScholar
2021

The Role of Digit Arrangement in Soft Robotic In-Hand Manipulation

IROS 2021poster

The need for robotic hands capable of gentle in-hand manipulation is growing rapidly as robots enter the real world. In this work, we show that the arrangement of digits in a soft robotic hand has a strong effect on in-hand manipulation capabilities. Introducing task-based performance metrics which…

Cited by 12SourceScholar
2018

Soft Curvature and Contact Force Sensors for Deep-Sea Grasping via Soft Optical Waveguides

IROS 2018poster

In this work, we show that sensors based on soft, intentionally-lossy optical waveguides are well-suited for soft robotic grasping applications in the deep-sea. Each finger of a soft robotic hand is outfitted with a 2×1 array of optical sensing elements to enable proprioception and contact force sen…

Cited by 43SourceScholar