A review of robot learning for manipulation: Challenges, representations, and algorithms
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 …
interacting with the world around them to achieve their goals. The last decade has seen …
Data-driven grasp synthesis—a survey
We review the work on data-driven grasp synthesis and the methodologies for sampling and
ranking candidate grasps. We divide the approaches into three groups based on whether …
ranking candidate grasps. We divide the approaches into three groups based on whether …
Self-supervised learning for precise pick-and-place without object model
Flexible pick-and-place is a fundamental yet challenging task within robotics, in particular
due to the need of an object model for a simple target pose definition. In this work, the robot …
due to the need of an object model for a simple target pose definition. In this work, the robot …
Task-based robot grasp planning using probabilistic inference
Gras** and manipulating everyday objects in a goal-directed manner is an important
ability of a service robot. The robot needs to reason about task requirements and ground …
ability of a service robot. The robot needs to reason about task requirements and ground …
[LIBRO][B] From robot to human gras** simulation
B León, A Morales, J Sancho-Bru - 2014 - Springer
The human hand and its dexterity in gras** and manipulating objects are some of the
hallmarks of the human species. For years, anatomic and biomechanical studies have …
hallmarks of the human species. For years, anatomic and biomechanical studies have …
Semantic and geometric reasoning for robotic gras**: a probabilistic logic approach
While any grasp must satisfy the gras** stability criteria, good grasps depend on the
specific manipulation scenario: the object, its properties and functionalities, as well as the …
specific manipulation scenario: the object, its properties and functionalities, as well as the …
Preparatory manipulation planning using automatically determined single and dual arm
This paper presents a manipulation planning algorithm for robots to reorient objects. It
automatically finds a sequence of robot motion that manipulates and prepares an object for …
automatically finds a sequence of robot motion that manipulates and prepares an object for …
Interpreting contact interactions to overcome failure in robot assembly tasks
A key challenge towards autonomous multi-part object assembly is robust sensorimotor
control under uncertainty. In contrast to previous works that rely on a priori knowledge on …
control under uncertainty. In contrast to previous works that rely on a priori knowledge on …