Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sóti, Gergely"'
With the goal of efficiently computing collision-free robot motion trajectories in dynamically changing environments, we present results of a novel method for Heuristics Informed Robot Online Path Planning (HIRO). Dividing robot environments into sta
Externí odkaz:
http://arxiv.org/abs/2410.20279
Path planning in a changing environment is a challenging task in robotics, as moving objects impose time-dependent constraints. Recent planning methods primarily focus on the spatial aspects, lacking the capability to directly incorporate time constr
Externí odkaz:
http://arxiv.org/abs/2410.20272
We present dGrasp, an implicit grasp policy with an enhanced optimization landscape. This landscape is defined by a NeRF-informed grasp value function. The neural network representing this function is trained on simulated grasp demonstrations. During
Externí odkaz:
http://arxiv.org/abs/2406.09939
Current robotic grasping methods often rely on estimating the pose of the target object, explicitly predicting grasp poses, or implicitly estimating grasp success probabilities. In this work, we propose a novel approach that directly maps gripper pos
Externí odkaz:
http://arxiv.org/abs/2309.08040
Precise pick-and-place is essential in robotic applications. To this end, we define a novel exact training method and an iterative inference method that improve pick-and-place precision with Transporter Networks. We conduct a large scale experiment o
Externí odkaz:
http://arxiv.org/abs/2302.09000