Media Summary: Been Kim, Caleb Chacha and Julie Shah, MIT. Video accompaning the paper: J. Lundell, F. Verdoja, V. Kyrki. Hallucinating This is a video giving a high level introduction to and demonstration of how the GraphPlan[1] algorithm can be applied to a ...

Inferring Robot Task Plans From - Detailed Analysis & Overview

Been Kim, Caleb Chacha and Julie Shah, MIT. Video accompaning the paper: J. Lundell, F. Verdoja, V. Kyrki. Hallucinating This is a video giving a high level introduction to and demonstration of how the GraphPlan[1] algorithm can be applied to a ... Workshop: Infer2Control (NeurIPS 2018) Session: Invited Talk Speaker: Sergey Levine. Inferring Objects' Affordances from Robot's Movement Paper: Abstract: This paper describes a strategy for implementing a

ICRA 2018 Spotlight Video Interactive Session Wed AM Pod E.5 Authors: Rosman, Guy; Choi, Changhyun; Dogar, Mehmet Remzi ... This breif video introduces our recent work on a generalization of active How can we enable users to create effective, perception-driven MIT computer scientists Leslie Kaelbling and Tomás Lozano-Pérez use a Willow Garage PR2

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Inferring Robot Task Plans from Human Team Meetings (AAAI13 Robotics Track)
Robot Task Planning with ChatGPT: Pick and place (multiple blocks)
Hallucinating robots: Inferring obstacle distances from partial laser measurements
GraphPlan for Robot Task Planning
IFRR Colloquium on on Task and Motion Planning
Sergey Levine: Control as Inference and Soft Deep RL
Inferring Objects' Affordances from Robot's Movement
Foundation Model based Open Vocab Task Planning & Executive System for General Purpose Service Robot
Task-Specific Sensor Planning for Robotic Assembly Tasks
SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models
Evaluating Methods for End-User Creation of Robot Task Plans
ICAPS 2017:  Integrating Mission and Task Planning in an Industrial Robotics Framework
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Inferring Robot Task Plans from Human Team Meetings (AAAI13 Robotics Track)

Inferring Robot Task Plans from Human Team Meetings (AAAI13 Robotics Track)

Been Kim, Caleb Chacha and Julie Shah, MIT.

Robot Task Planning with ChatGPT: Pick and place (multiple blocks)

Robot Task Planning with ChatGPT: Pick and place (multiple blocks)

The

Hallucinating robots: Inferring obstacle distances from partial laser measurements

Hallucinating robots: Inferring obstacle distances from partial laser measurements

Video accompaning the paper: J. Lundell, F. Verdoja, V. Kyrki. Hallucinating

GraphPlan for Robot Task Planning

GraphPlan for Robot Task Planning

This is a video giving a high level introduction to and demonstration of how the GraphPlan[1] algorithm can be applied to a ...

IFRR Colloquium on on Task and Motion Planning

IFRR Colloquium on on Task and Motion Planning

An enduring goal of AI and

Sergey Levine: Control as Inference and Soft Deep RL

Sergey Levine: Control as Inference and Soft Deep RL

Workshop: Infer2Control (NeurIPS 2018) Session: Invited Talk Speaker: Sergey Levine.

Inferring Objects' Affordances from Robot's Movement

Inferring Objects' Affordances from Robot's Movement

Inferring Objects' Affordances from Robot's Movement

Foundation Model based Open Vocab Task Planning & Executive System for General Purpose Service Robot

Foundation Model based Open Vocab Task Planning & Executive System for General Purpose Service Robot

Paper: https://arxiv.org/abs/2308.03357 Abstract: This paper describes a strategy for implementing a

Task-Specific Sensor Planning for Robotic Assembly Tasks

Task-Specific Sensor Planning for Robotic Assembly Tasks

ICRA 2018 Spotlight Video Interactive Session Wed AM Pod E.5 Authors: Rosman, Guy; Choi, Changhyun; Dogar, Mehmet Remzi ...

SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models

SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models

This breif video introduces our recent work on a generalization of active

Evaluating Methods for End-User Creation of Robot Task Plans

Evaluating Methods for End-User Creation of Robot Task Plans

How can we enable users to create effective, perception-driven

ICAPS 2017:  Integrating Mission and Task Planning in an Industrial Robotics Framework

ICAPS 2017: Integrating Mission and Task Planning in an Industrial Robotics Framework

Integrating Mission and

Robot demonstrates task planning and execution skills

Robot demonstrates task planning and execution skills

MIT computer scientists Leslie Kaelbling and Tomás Lozano-Pérez use a Willow Garage PR2