3 citations · 4 across the 5 of their papers we have counts for
5 papers
Multi-Modal Legged Locomotion Framework with Automated Residual Reinforcement Learning
Chen Yu, Andre Rosendo
While quadruped robots usually have good stability and load capacity, bipedal robots offer a higher level of flexibility / adaptability to different tasks and environments. A multi…
Scaffolded Learning of In-place Trotting Gait for a Quadruped Robot with Bayesian Optimization
Keyan Zhai, Chu'an Li, Andre Rosendo
During learning trials, systems are exposed to different failure conditions which may break robotic parts before a safe behavior is discovered. Humans contour this problem by groun…
Proximal Policy Optimization Smoothed Algorithm
Wangshu Zhu, Andre Rosendo
Proximal policy optimization (PPO) has yielded state-of-the-art results in policy search, a subfield of reinforcement learning, with one of its key points being the use of a surrog…
CircuitBot: Learning to Survive with Robotic Circuit Drawing
Xianglong Tan, Weijie Lyu, Andre Rosendo
Robots with the ability to actively acquire power from surroundings will be greatly beneficial for long-term autonomy, and to survive in dynamic, uncertain environments. In this wo…
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals
Yizheng Zhang, Andre Rosendo
Deep Reinforcement Learning (DRL) has shown its promising capabilities to learn optimal policies directly from trial and error. However, learning can be hindered if the goal of the…