114 citations · 153 across the 6 of their papers we have counts for
7 papers
A Low-Cost, Highly Customizable Solution for Position Estimation in Modular Robots
Chao Liu, Tarik Tosun, Mark Yim
Accurate position sensing is important for state estimation and control in robotics. Reliable and accurate position sensors are usually expensive and difficult to customize. Incorp…
Robotic Grasping through Combined Image-Based Grasp Proposal and 3D Reconstruction
Daniel Yang, Tarik Tosun, Ben Eisner +2
We present a novel approach to robotic grasp planning using both a learned grasp proposal network and a learned 3D shape reconstruction network. Our system generates 6-DOF grasps f…
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner
Tarik Tosun, Eric Mitchell, Ben Eisner +6
We present a novel method enabling robots to quickly learn to manipulate objects by leveraging a motion planner to generate "expert" training trajectories from a small amount of hu…
Optimal Structure Synthesis for Environment Augmenting Robots
Tarik Tosun, Cynthia Sung, Colin McCloskey +1
Building structures can allow a robot to surmount large obstacles, expanding the set of areas it can reach. This paper presents a planning algorithm to automatically determine what…
Accomplishing High-Level Tasks with Modular Robots
Gangyuan Jing, Tarik Tosun, Mark Yim +1
The advantage of modular self-reconfigurable robot systems is their flexibility, but this advantage can only be realized if appropriate configurations (shapes) and behaviors (contr…
Perception-Informed Autonomous Environment Augmentation With Modular Robots
Tarik Tosun, Jonathan Daudelin, Gangyuan Jing +3
We present a system enabling a modular robot to autonomously build structures in order to accomplish high-level tasks. Building structures allows the robot to surmount large obstac…
An Integrated System for Perception-Driven Autonomy with Modular Robots
Jonathan Daudelin, Gangyuan Jing, Tarik Tosun +3
The theoretical ability of modular robots to reconfigure in response to complex tasks in a priori unknown environments has frequently been cited as an advantage and remains a major…