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20162023
most citedA Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms

96 citations · 267 across the 31 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.RO2019

Camera-to-Robot Pose Estimation from a Single Image

Timothy E. Lee, Jonathan Tremblay, Thang To +5

We present an approach for estimating the pose of an external camera with respect to a robot using a single RGB image of the robot. The image is processed by a deep neural network…

cs.RO2019★ 3 cited

Leveraging Multimodal Haptic Sensory Data for Robust Cutting

Kevin Zhang, Mohit Sharma, Manuela Veloso +1

Cutting is a common form of manipulation when working with divisible objects such as food, rope, or clay. Cooking in particular relies heavily on cutting to divide food items into…

cs.RO2019★ 5 cited

Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation

Jialiang Zhao, Jacky Liang, Oliver Kroemer

Precise robotic grasping is important for many industrial applications, such as assembly and palletizing, where the location of the object needs to be controlled and known. However…

cs.RO2019★ 19 cited

Graph-Structured Visual Imitation

Maximilian Sieb, Zhou Xian, Audrey Huang +2

We cast visual imitation as a visual correspondence problem. Our robotic agent is rewarded when its actions result in better matching of relative spatial configurations for corresp…

cs.RO2019★ 96 cited

A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms

Oliver Kroemer, Scott Niekum, George Konidaris

A key challenge in intelligent robotics is creating robots that are capable of directly interacting with the world around them to achieve their goals. The last decade has seen subs…

cs.RO2019★ 8 cited

Learning Semantic Embedding Spaces for Slicing Vegetables

Mohit Sharma, Kevin Zhang, Oliver Kroemer

In this work, we present an interaction-based approach to learn semantically rich representations for the task of slicing vegetables. Unlike previous approaches, we focus on object…