Towards a personal robotics development platform: Rationale and design of an intrinsically safe personal robot
By Keenan A. Wyrobek, Eric Berger, H. Van der Loos, J. K. Salisbury. 2008
226 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Control and Systems Engineering, Robotics & Control
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Sergey Levine
- Pieter Abbeel
- Chelsea Finn
- Trevor Darrell
- Zipeng Fu
- Shuran Song
- Marco F. Cusumano-Towner
- Jeremy B. Maitin-Shepard
In Control and Systems Engineering
- Sergey Levine
- Chelsea Finn
- Pieter Abbeel
- Trevor Darrell
- Russ Tedrake
- Vikash Kumar
- Abhishek Gupta
- Silvio Savarese
In Robotics & Control
- Sergey Levine
- Chelsea Finn
- Pieter Abbeel
- Russ Tedrake
- Trevor Darrell
- Shuran Song
- Tony Zhao
- David Coleman
Citations in the corpus
- End-to-End Training of Deep Visuomotor Policies (2015, background): “I. INTRODUCTION Reinforcement learning and policy search methods hold the promise of allowing robots to acquire new behaviors through experience.”
- Human- versus Artificial Intelligence (2021, background): “This would be very useful, for example when a high degree of social intelligence of AI will contribute to more adequate interactions with humans, for example in health care or for entertainment purposes (Wyrobek et al., 2008).”
- Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation (2024, methodology): “For example, the PR1 uses two haptic devices for bimanual teleoperation and foot ped-als to control the base [93].”
- Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding (2010, methodology): “We used a prototype version of the Willow Garage PR2 robotic platform [28], shown in Fig.”
- Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots (2024, methodology): “Previous approaches utilized interfaces such as 3D spacemouse [9, 54], VR or AR controllers [35, 3, 13, 19, 31, 51, 12], smartphones [44, 45, 22], and haptic devices [38, 47, 43, 26, 4] for teleoperation.”
- Fetch & Freight : Standard Platforms for Service Robot Applications (2016, methodology): “The PR2 was based on the earlier PR1 robot [2] which, like our robot, had a differential drive base.”
- Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study (2014, methodology): “[2] is the primary software framework for motion planning and mobile manipulation in ROS and has been successfully integrated with many robots including the PR2 [30], Robonaut [31], and DARPA’s Atlas robot.”